Interpreting Your JSON Results
Introduction
This document serves as a guide to understanding the JSON model results files generated by the Indico Agents and Workflows platform.
The contents of the result file you see depend on several factors:
- The type of model
- The default output version for your cluster
- Whether optional functionalities are enabled, such as:
- Review
- Typed Answer Keys (TAK)
- Linked Labels
- Summarization
Output Overview
- Classification models, including Classify and Unbundle models, output predicted classes with confidence scores.
- Extraction models : output extracted text with confidence levels for each prediction.
- Linked-Label transformers: group linked labels using an index in the output dictionary.
- Form models: output includes keys like
recognized_formsandform_versionto identify processed forms. - Review or Autoreview: indicate the review status of model outputs.
- Object Detection
- Summarization: output varies between result-file versions:
- For version 1, results mirror single classification output results and contain summary text with citations.
- For version 3, the output contains an array for each unbundled file in the submission.
Each file also features links to ETL (Extract, Transform, Load) and OCR (Optical Character Recognition) outputs, which offer detailed information about each page within a submission. To understanding ETL and OCR output, read our Interpreting your OCR and ETL Output document.
In addition to model type, Typed Answer Keys/Output Normalization also impacts your output. It adds a formatted or normalized key for field normalization.
The
spansKeyModels like Extraction and Classify and Unbundle return labels containing a
spanskey, which represents semantically related text segments from the source document. Thectx_idfield, if provided, tracks the parent span to organize related data through a workflow. If noctx_idis provided, the model ran on the entire document.
Understanding Your JSON Results
This guide will walk you through the structure of each of these results files, explain the significance of each element, and provide practical examples to help you effectively utilize this data in your applications.
Output File Hierarchy
There are three levels of result files that you get from a workflow:
- Top-level result file that typically has the following name structure
submission_<submission id>_result.json. - Mid-level result file named
etl_output.jsonprovides links to the full text of the submission and the low-level result files that contain the detailed results of the workflow. - Low-level detailed OCR result files:
page_info_<index>.jsonprovides detailed OCR data for the page identified by the index in the file name.- JSON files that provide granular OCR data on characters, tokens, and blocks.
To learn about the mid- and low-lever output file contents, read Interpreting Your OCR and ETL Output.
File Versions
Indico currently offers two versions of results files, version 1 and version 3. The formats have slight variations.
The file version you are using is accessible in the first line of the JSON output file.
{
"file_version": 3,
...
}It is a best practice to use version 3 whenever possible. Indico is sunsetting version 1. It is currently being supported for backward compatibility only.
Classification
For classification results of all varieties tested under the name of the model group, there is a dictionary of the class name and confidence level of the prediction. Confidence levels are between 0 and 1.
Single Classification
For single classification, results are present for every model group as keys in the results dictionary.
{
"file_version": 1,
"submission_id": "12345",
"etl_output": "indico-file:///storage/submission/ocr_output.json",
"results": {
"document": {
"results": {
"Test Model 1": {
"Class 1": 0.688137223450789,
"Class 2": 0.08451932419717022,
"Class 3": 0.06304424768016251,
"Class 4": 0.021362314937542252
}
}
}
}
}{
"file_version": 3,
"submission_id": 97351,
"modelgroup_metadata": {
"5963": {
"id": 5963,
"task_type": "classification",
"name": "classify_docs_forms_emails",
"selected_model": {
"id": 9852,
"model_type": "tfidf_gbt"
}
},
"5964": {
"id": 5964,
"task_type": "annotation",
"name": "email_agent",
"selected_model": {
"id": 9855,
"model_type": "finetune"
}
},
"5965": {
"id": 5965,
"task_type": "annotation",
"name": "form_extract",
"selected_model": {
"id": 9857,
"model_type": "finetune"
}
}
},
"component_metadata": {
"19257": {
"id": 19257,
"name": null,
"component_type": "input_ocr_extraction",
"task_type": null
},
"19258": {
"id": 19258,
"name": null,
"component_type": "output_json_formatter",
"task_type": null
},
"19259": {
"id": 19259,
"name": "Standard Output",
"component_type": "default_output",
"task_type": null
},
"19260": {
"id": 19260,
"name": "Document Classification",
"component_type": "model_group",
"task_type": "classification"
},
"19261": {
"id": 19261,
"name": "Agent Link",
"component_type": "link_classification_model",
"task_type": "classification"
},
"19262": {
"id": 19262,
"name": "Document Extraction",
"component_type": "model_group",
"task_type": "annotation"
},
"19263": {
"id": 19263,
"name": "Review",
"component_type": "review",
"task_type": null
},
"19264": {
"id": 19264,
"name": "Document Extraction",
"component_type": "model_group",
"task_type": "annotation"
}
},
"submission_results": [
{
"submissionfile_id": 93643,
"etl_output": "indico-file:///storage/submission/5530/97351/93643/etl_output.json",
"input_filename": "GlenbrookHospitalityGroup.eml",
"input_filepath": "indico-file:///storage/submission/5530/97351/93643.eml",
"input_filesize": 752098,
"model_results": {
"ORIGINAL": {
"5964": [
{
"label": "email_date",
"spans": [
{
"start": 71,
"end": 80,
"page_num": 0
}
],
"span_id": "93643:c:19262:idx:0",
"confidence": {
"MSAddress": 0.00005312422217684798,
"email_date": 0.9356335997581482,
"email_from": 0.000023834867533878424,
"email_subject": 0.0000030208063890313498,
"email_to": 0.000005936453362664906
},
"field_id": 857964,
"location_type": "exact",
"text": "6/24/2023",
"normalized": {
"text": "6/24/2023",
"start": 71,
"end": 80,
"structured": null,
"formatted": "6/24/2023",
"status": "WARNING",
"comparison_type": "string",
"comparison_value": "6/24/2023",
"validation": [
{
"validation_type": "TYPE_CONVERSION",
"error_message": null,
"validation_status": "SUCCESS"
},
{
"validation_type": "MIN_CONFIDENCE",
"error_message": "Confidence value is below minimum of 0.999999",
"validation_status": "WARNING"
}
]
}
},
{
"label": "email_from",
"spans": [
{
"start": 147,
"end": 150,
"page_num": 0
}
],
"span_id": "93643:c:19262:idx:1",
"confidence": {
"MSAddress": 0.0002783602976705879,
"email_date": 3.915139927812561e-7,
"email_from": 0.8135819435119629,
"email_subject": 0.0000029474567782017404,
"email_to": 0.005243304651230574
},
"field_id": 857963,
"location_type": "exact",
"text": "Son",
"normalized": {
"text": "Son",
"start": 147,
"end": 150,
"structured": null,
"formatted": "Son",
"status": "WARNING",
"comparison_type": "string",
"comparison_value": "Son",
"validation": [
{
"validation_type": "TYPE_CONVERSION",
"error_message": null,
"validation_status": "SUCCESS"
},
{
"validation_type": "MIN_CONFIDENCE",
"error_message": "Confidence value is below minimum of 0.999999",
"validation_status": "WARNING"
}
]
}
},
{
"label": "email_date",
"spans": [
{
"start": 186,
"end": 202,
"page_num": 0
}
],
"span_id": "93643:c:19262:idx:2",
"confidence": {
"MSAddress": 2.7453074480376928e-8,
"email_date": 0.9999993443489075,
"email_from": 2.7516144029959834e-8,
"email_subject": 8.470322221398874e-9,
"email_to": 1.5203445613565237e-8
},
"field_id": 857964,
"location_type": "exact",
"text": "Fri, 24 Feb 2023",
"normalized": {
"text": "Fri, 24 Feb 2023",
"start": 186,
"end": 202,
"structured": null,
"formatted": "Fri, 24 Feb 2023",
"status": "SUCCESS",
"comparison_type": "string",
"comparison_value": "Fri, 24 Feb 2023",
"validation": [
{
"validation_type": "TYPE_CONVERSION",
"error_message": null,
"validation_status": "SUCCESS"
},
{
"validation_type": "MIN_CONFIDENCE",
"error_message": null,
"validation_status": "SUCCESS"
}
]
}
},
{
"label": "email_date",
"spans": [
{
"start": 744,
"end": 748,
"page_num": 1
}
],
"span_id": "93643:c:19262:idx:3",
"confidence": {
"MSAddress": 0.00008587438060203567,
"email_date": 0.9474868178367615,
"email_from": 0.00003401423236937262,
"email_subject": 2.682314743651659e-7,
"email_to": 0.000004527433247858426
},
"field_id": 857964,
"location_type": "exact",
"text": "/01/",
"normalized": {
"text": "/01/",
"start": 744,
"end": 748,
"structured": null,
"formatted": "/01/",
"status": "WARNING",
"comparison_type": "string",
"comparison_value": "/01/",
"validation": [
{
"validation_type": "TYPE_CONVERSION",
"error_message": null,
"validation_status": "SUCCESS"
},
{
"validation_type": "MIN_CONFIDENCE",
"error_message": "Confidence value is below minimum of 0.999999",
"validation_status": "WARNING"
}
]
}
},
{
"label": "email_date",
"spans": [
{
"start": 757,
"end": 763,
"page_num": 1
}
],
"span_id": "93643:c:19262:idx:4",
"confidence": {
"MSAddress": 0.000060868278524139899,
"email_date": 0.945084810256958,
"email_from": 0.00003249396468163468,
"email_subject": 3.6455074337027329e-7,
"email_to": 0.000004495771008805605
},
"field_id": 857964,
"location_type": "exact",
"text": "03/17/",
"normalized": {
"text": "03/17/",
"start": 757,
"end": 763,
"structured": null,
"formatted": "03/17/",
"status": "WARNING",
"comparison_type": "string",
"comparison_value": "03/17/",
"validation": [
{
"validation_type": "TYPE_CONVERSION",
"error_message": null,
"validation_status": "SUCCESS"
},
{
"validation_type": "MIN_CONFIDENCE",
"error_message": "Confidence value is below minimum of 0.999999",
"validation_status": "WARNING"
}
]
}
},
{
"label": "email_date",
"spans": [
{
"start": 8494,
"end": 8511,
"page_num": 5
}
],
"span_id": "93643:c:19262:idx:5",
"confidence": {
"MSAddress": 0.0000015813617437743233,
"email_date": 0.9995347261428833,
"email_from": 0.000004186162641417468,
"email_subject": 2.14101305573422e-7,
"email_to": 0.0000010607820968289162
},
"field_id": 857964,
"location_type": "exact",
"text": "February 24, 2023",
"normalized": {
"text": "February 24, 2023",
"start": 8494,
"end": 8511,
"structured": null,
"formatted": "February 24, 2023",
"status": "WARNING",
"comparison_type": "string",
"comparison_value": "February 24, 2023",
"validation": [
{
"validation_type": "TYPE_CONVERSION",
"error_message": null,
"validation_status": "SUCCESS"
},
{
"validation_type": "MIN_CONFIDENCE",
"error_message": "Confidence value is below minimum of 0.999999",
"validation_status": "WARNING"
}
]
}
},
{
"label": "email_date",
"spans": [
{
"start": 9608,
"end": 9633,
"page_num": 5
}
],
"span_id": "93643:c:19262:idx:6",
"confidence": {
"MSAddress": 1.945169429973248e-7,
"email_date": 0.9999340772628784,
"email_from": 6.789780968574632e-7,
"email_subject": 6.638894944899221e-8,
"email_to": 2.0531339828266938e-7
},
"field_id": 857964,
"location_type": "exact",
"text": "Friday, February 24, 2023",
"normalized": {
"text": "Friday, February 24, 2023",
"start": 9608,
"end": 9633,
"structured": null,
"formatted": "Friday, February 24, 2023",
"status": "WARNING",
"comparison_type": "string",
"comparison_value": "Friday, February 24, 2023",
"validation": [
{
"validation_type": "TYPE_CONVERSION",
"error_message": null,
"validation_status": "SUCCESS"
},
{
"validation_type": "MIN_CONFIDENCE",
"error_message": "Confidence value is below minimum of 0.999999",
"validation_status": "WARNING"
}
]
}
},
{
"label": "email_date",
"spans": [
{
"start": 9820,
"end": 9826,
"page_num": 5
}
],
"span_id": "93643:c:19262:idx:7",
"confidence": {
"MSAddress": 0.00008293025894090533,
"email_date": 0.8890893459320068,
"email_from": 0.00003871482113027014,
"email_subject": 0.0000015124880974326516,
"email_to": 0.000005117231467011152
},
"field_id": 857964,
"location_type": "exact",
"text": "/24/20",
"normalized": {
"text": "/24/20",
"start": 9820,
"end": 9826,
"structured": null,
"formatted": "/24/20",
"status": "WARNING",
"comparison_type": "string",
"comparison_value": "/24/20",
"validation": [
{
"validation_type": "TYPE_CONVERSION",
"error_message": null,
"validation_status": "SUCCESS"
},
{
"validation_type": "MIN_CONFIDENCE",
"error_message": "Confidence value is below minimum of 0.999999",
"validation_status": "WARNING"
}
]
}
}
],
"5963": [
{
"field_id": 857962,
"confidence": {
"email": 0.9999709807607293,
"doc": 0.000021706405164815997,
"form": 0.00000731283410581234
},
"label": "email"
}
]
}
},
"component_results": {
"ORIGINAL": {}
},
"rejected": {
"models": {
"5964": [],
"5963": []
},
"components": {}
}
}
],
"reviews": {},
"errored_files": {}
}Multi Classification
For multi-classification, class name and confidence are present for every class in the model.
{
"file_version": 3,
"submission_id": 97350,
"modelgroup_metadata": {
"4221": {
"id": 4221,
"task_type": "classification_multiple",
"name": "multi_classify",
"selected_model": {
"id": 6766,
"model_type": "tfidf_gbt"
}
},
"4227": {
"id": 4227,
"task_type": "annotation",
"name": "extraction document type 1",
"selected_model": {
"id": 6767,
"model_type": "finetune"
}
},
"4229": {
"id": 4229,
"task_type": "annotation",
"name": "extraction document type 2",
"selected_model": {
"id": 6770,
"model_type": "finetune"
}
}
},
"component_metadata": {
"14734": {
"id": 14734,
"name": null,
"component_type": "input_ocr_extraction",
"task_type": null
},
"14735": {
"id": 14735,
"name": null,
"component_type": "output_json_formatter",
"task_type": null
},
"14737": {
"id": 14737,
"name": "Document Multi-Classification",
"component_type": "model_group",
"task_type": "classification_multiple"
},
"14745": {
"id": 14745,
"name": "Standard Output",
"component_type": "default_output",
"task_type": null
},
"14746": {
"id": 14746,
"name": "Model Link",
"component_type": "link_classification_model",
"task_type": "classification_multiple"
},
"14747": {
"id": 14747,
"name": "Document Extraction",
"component_type": "model_group",
"task_type": "annotation"
},
"14748": {
"id": 14748,
"name": "Review",
"component_type": "review",
"task_type": null
},
"14750": {
"id": 14750,
"name": "Document Extraction",
"component_type": "model_group",
"task_type": "annotation"
}
},
"submission_results": [
{
"submissionfile_id": 93642,
"etl_output": "indico-file:///storage/submission/4008/97350/93642/etl_output.json",
"input_filename": "leadership.pdf",
"input_filepath": "indico-file:///storage/submission/4008/97350/93642.pdf",
"input_filesize": 15248,
"model_results": {
"ORIGINAL": {
"4221": [
{
"field_ids": [
267290,
267290,
267290
],
"confidence": {
"problem": 0.9999999961727768,
"leadership": 0.9999999922852744,
"tech": 0.6666662614633455,
"earnings": 0.3333331376906894,
"other": 2.872262090213859e-8,
"acquisition": 2.3355426017253765e-9,
"energy": 9.715453333083489e-10,
"financial": 4.161086406129549e-10,
"foodretail": 4.353135264147288e-11,
"product": 2.2489297185618299e-11,
"auto": 2.2232509679333238e-11,
"pharmaceutical": 1.824398818834385e-14
},
"label": [
"problem",
"leadership",
"tech"
]
}
],
"4227": [
{
"label": "org",
"spans": [
{
"start": 4,
"end": 8,
"page_num": 0
}
],
"span_id": "93642:c:14747:idx:0",
"confidence": {
"org": 0.9999672174453735
},
"field_id": 267292,
"location_type": "exact",
"text": "Sony",
"normalized": {
"text": "Sony",
"start": 4,
"end": 8,
"structured": null,
"formatted": "Sony",
"status": "SUCCESS",
"comparison_type": "string",
"comparison_value": "Sony",
"validation": [
{
"validation_type": "TYPE_CONVERSION",
"error_message": null,
"validation_status": "SUCCESS"
}
]
}
}
]
}
},
"component_results": {
"ORIGINAL": {}
},
"rejected": {
"models": {
"4221": [],
"4227": []
},
"components": {}
}
}
],
"reviews": {},
"errored_files": {}
}Classify and Unbundle
{
"file_version": 1,
"submission_id": 191111,
"etl_output": "indico-file:///storage/submission/13733/19302/11111/etl_output.json",
"results": {
"document": {
"results": {
"classify and unbundle invoices": [],
"class filter for invoices": {
"field_id": 6866379,
"confidence": {
"Invoices": 0.999618701653154,
"Receipts": 0.0003806857502734332,
"Other": 6.125965725590266e-7
},
"label": "Other"
}
},
"rejected": {
"classify and unbundle invoices": [],
"class filter for invoices": []
}
}
}
}{
"file_version": 3,
"submission_id": 97349,
"modelgroup_metadata": {
"5207": {
"id": 5207,
"task_type": "classification_unbundling",
"name": "classify_unbundle_readapiv2_no_unpack",
"selected_model": {
"id": 8302,
"model_type": "unbundle"
}
},
"5208": {
"id": 5208,
"task_type": "annotation",
"name": "avg_report_extract",
"selected_model": {
"id": 8304,
"model_type": "finetune"
}
},
"5209": {
"id": 5209,
"task_type": "annotation",
"name": "financial_disclosure_report_name",
"selected_model": {
"id": 8306,
"model_type": "finetune"
}
},
"5210": {
"id": 5210,
"task_type": "annotation",
"name": "report_extraction",
"selected_model": {
"id": 8308,
"model_type": "finetune"
}
}
},
"component_metadata": {
"16999": {
"id": 16999,
"name": null,
"component_type": "input_ocr_extraction",
"task_type": null
},
"17000": {
"id": 17000,
"name": null,
"component_type": "output_json_formatter",
"task_type": null
},
"17001": {
"id": 17001,
"name": "Standard Output",
"component_type": "default_output",
"task_type": null
},
"17002": {
"id": 17002,
"name": "Classify & Unbundle",
"component_type": "model_group",
"task_type": "classification_unbundling"
},
"17003": {
"id": 17003,
"name": "Model Link",
"component_type": "link_classification_model",
"task_type": "classification_unbundling"
},
"17004": {
"id": 17004,
"name": "Document Extraction",
"component_type": "model_group",
"task_type": "annotation"
},
"17005": {
"id": 17005,
"name": "Review",
"component_type": "review",
"task_type": null
},
"17006": {
"id": 17006,
"name": "Document Extraction",
"component_type": "model_group",
"task_type": "annotation"
},
"17007": {
"id": 17007,
"name": "Document Extraction",
"component_type": "model_group",
"task_type": "annotation"
}
},
"submission_results": [
{
"submissionfile_id": 93641,
"etl_output": "indico-file:///storage/submission/4903/97349/93641/etl_output.json",
"input_filename": "bundled_doc-1.pdf",
"input_filepath": "indico-file:///storage/submission/4903/97349/93641.pdf",
"input_filesize": 361241,
"model_results": {
"ORIGINAL": {
"5208": [
{
"label": "avg_logo",
"spans": [
{
"start": 32802,
"end": 32805,
"page_num": 19
}
],
"span_id": "93641:c:17004:idx:0",
"confidence": {
"avg_logo": 0.9999994039535523
},
"ctx_id": "93641:c:17002:idx:2",
"field_id": 429948,
"location_type": "exact",
"text": "AVG",
"normalized": {
"text": "AVG",
"start": 32802,
"end": 32805,
"structured": null,
"formatted": "AVG",
"status": "SUCCESS",
"comparison_type": "string",
"comparison_value": "AVG",
"validation": [
{
"validation_type": "TYPE_CONVERSION",
"error_message": null,
"validation_status": "SUCCESS"
}
]
}
}
],
"5210": [
{
"label": "company_name",
"spans": [
{
"start": 0,
"end": 33,
"page_num": 0
}
],
"span_id": "93641:c:17007:idx:0",
"confidence": {
"company_name": 0.9999999403953552
},
"ctx_id": "93641:c:17002:idx:0",
"field_id": 429950,
"location_type": "exact",
"text": "NORTHEAST\nCOMMUNITY BANCORP, INC.",
"normalized": {
"text": "NORTHEAST\nCOMMUNITY BANCORP, INC.",
"start": 0,
"end": 33,
"structured": null,
"formatted": "NORTHEAST\nCOMMUNITY BANCORP, INC.",
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],
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},
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{
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},
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],
"reviews": {},
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}Extraction
For extraction results, each extracted text (identified by character start and end indexes and text) displays the confidence score (under the confidence nesting) for each of the classes in the model. The class with the highest confidence is identified as the label (under the label key). Confidence levels are between 0 and 1. You may notice <PAD> in list of labels. <PAD> indicates the absence of a label.
{
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"errors": [],
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"results": {
"Invoices Extraction": [
{
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"label": "Invoice Number",
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},
{
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}
},
{
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"end": 2069,
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]
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}
}
}{
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},
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},
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},
"82567": {
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},
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},
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}
},
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],
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},
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],
"reviews": {},
"errored_files": {}
}Other JSON Output Styles
Linked Labels
Your JSON output document may look slightly different if your model is downstream from a linked labels transformer in a workflow. The results document will continue to follow the standard format with the addition of a groupings key. In the groupings dictionary, your linked labels groups will be identified by their index. Each instance of a group has a unique index, so labels that share an index are in the same label group.
If a prediction went through the transformer but was determined not to be part of any groups, it will contain an empty groupings dictionary (i.e., "groupings": [])
{
"submission_id": 9,
"etl_output": "indico-file:///storage/submission/ocr_output.json",
"errors": [],
"results": {
"document": {
"results": {
"Invoices Extraction": [
{
"start": 115,
"end": 126,
"label": "Invoice Number",
"text": "10000023222",
"confidence": {
"Line Item Description": 4.491627958458366e-9,
"Total": 1.0310143494507429e-7,
"Vendor": 3.994096786641421e-8,
"<PAD>": 3.4748592270261724e-7,
"Invoice Number": 0.9999995231628418,
"Line Item Value": 1.2659886472476956e-8
},
"groupings": []
},
{
"start": 321,
"end": 340,
"label": "Line Item Description",
"text": "Hospitalization Level 2",
"confidence": {
"Invoice Number": 4.491627958458366e-9,
"Total": 1.0310143494507429e-7,
"Vendor": 3.994096786641421e-8,
"<PAD>": 3.4748592270261724e-7,
"Line Item Description": 0.9999995231628418,
"Line Item Value": 1.2659886472476956e-8
},
"groupings": [
{
"group_name": "Line Item",
"group_index": 1
}
]
},
{
"start": 351,
"end": 359,
"label": "Line Item Value",
"text": "350.00",
"confidence": {
"Line Item Value": 0.9999995231628418,
"Total": 1.0310143494507429e-7,
"Vendor": 3.994096786641421e-8,
"<PAD>": 3.4748592270261724e-7,
"Invoice Number": 1.0310143494507429e-7,
"Line Item Description": 1.2659886472476956e-8
},
"groupings": [
{
"group_name": "Line Item",
"group_index": 1
}
]
},
...
]
}
}
}
}{
"file_version": 3,
"submission_id": 23111,
"modelgroup_metadata": {
"9111": {
"id": 9111,
"task_type": "classification_unbundling",
"name": "multi_models_classify_unbundle",
"selected_model": {
"id": 11111,
"model_type": "unbundle"
}
},
"9112": {
"id": 9112,
"task_type": "classification",
"name": "multi_models_classification_model",
"selected_model": {
"id": 11112,
"model_type": "tfidf_gbt"
}
},
"9113": {
"id": 9113,
"task_type": "annotation",
"name": "multi_models_extraction_model",
"selected_model": {
"id": 11114,
"model_type": "finetune"
}
}
},
"submission_results": [
{
"submissionfile_id": 21111,
"etl_output": "indico-file:///storage/submission/11599/23532/2111/etl_output.json",
"input_filename": "MultiClass.pdf",
"input_filepath": "indico-file:///storage/submission/11599/23111/24607.pdf",
"input_filesize": 15103,
"model_results": {
"ORIGINAL": {
"9111": [
{
"label": "financial disclosures",
"spans": [
{
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"end": 31,
"page_num": 0
}
],
"span_id": "24607:c:47034:idx:0",
"confidence": {
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"financial disclosures": 0.9801384210586548
},
"field_id": 6403711
},
{
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}
],
"span_id": "24607:c:47034:idx:1",
"confidence": {
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"financial disclosures": 0.9837659001350403
},
"9113": []
}
},
"component_results": {
"ORIGINAL": {}
},
"rejected": {
"models": {
"9111": [],
"9112": [],
"9113": []
},
"components": {}
}
}
],
"reviews": {}
}Forms Output
Output from an Forms model contains a recognized_forms key for the model, which details all the forms recognized in the output file, and a orm_version key for each prediction.
{
"file_version": 1,
"submission_id": 11111,
"etl_output": "indico-file:///storage/submission/13708/11111/1111/etl_output.json",
"results": {
"document": {
"results": {
"ACORD Model": [
{
"start": null,
"end": null,
"label": "Agency",
"confidence": {
"Agency": 1.0
},
"field_id": 6801111,
"top": 219,
"bottom": 530,
"left": 63,
"right": 1286,
"page_num": 0,
"type": "text",
"text": "My Insurance Group \n1234 Main St. \nBoston, MA 02111",
"normalized": {
"text": "Mediocre Insurance Group \n1234 Main St. \nBoston, MA 02111",
"start": null,
"end": null,
"structured": null,
"formatted": "Mediocre Insurance Group \n1234 Main St. \nBoston, MA 02111",
"status": "SUCCESS",
"validation": [
{
"validation_type": "TYPE_CONVERSION",
"error_message": null,
"validation_status": "SUCCESS"
}
]
}
},{
"file_version": 3,
"submission_id": 19111,
{
"processed_file_name": "indico-blob:///storage/submission/0000/6803/0000.pdf",
"recognized_forms": {
"Acord-125-2016-03": [
0
]
},
"etl_output_url": "indico-blob:///storage/submission/2851/6803/0000/etl_output.json"
}
],
"pages": [
{
"template_name": "299485",
"template_page_number": 0,
"match_confidence": 0.98,
"zones": [
{
"top": 119,
"bottom": 231,
"left": 2101,
"right": 2485,
"page_num": 0,
"type": "text",
"text": "",
"label": "Date",
"confidence": 100,
"form_version": "Acord-125-2016-03",
"value": ""
},
{
"top": 219,
"bottom": 530,
"left": 63,
"right": 1286,
"page_num": 0,
"type": "text",
"text": "Mediocre Insurance Group \n1234 Main St. \nBoston, MA 02111",
"label": "Agency",
"confidence": 100,
"form_version": "Acord-125-2016-03",
"value": "Mediocre Insurance Group \n1234 Main St. \nBoston, MA 02111"
},
{
"top": 219,
"bottom": 331,
"left": 1262,
"right": 2275,
"page_num": 0,
"type": "text",
"text": "Anonymouse Insurance",
"label": "Carrier",
"confidence": 100,
"form_version": "Acord-125-2016-03",
"value": "Anonymouse Insurance"
},
{
"top": 219,
"bottom": 331,
"left": 2251,
"right": 2485,
"page_num": 0,
"type": "text",
"text": "",
"label": "NAICCodePg1",
"confidence": 100,
"form_version": "Acord-125-2016-03",
"value": ""
},
{
"top": 325,
"bottom": 431,
"left": 1262,
"right": 2200,
"page_num": 0,
"type": "text",
"text": "",
"label": "PolicyProgramName",
"confidence": 100,
"form_version": "Acord-125-2016-03",
"value": ""
},
{
"top": 319,
"bottom": 431,
"left": 2176,
"right": 2485,
"page_num": 0,
"type": "text",
"text": "",
"label": "CompanyProductCode",
"confidence": 100,
"form_version": "Acord-125-2016-03",
"value": ""
},
{
"top": 419,
"bottom": 531,
"left": 1262,
"right": 2485,
"page_num": 0,
"type": "text",
"text": "0123456789",
"label": "PolicyNumber",
"confidence": 100,
"form_version": "Acord-125-2016-03",
"value": "0123456789"
},Normalization/Typed Answer Keys
If you have used Typed Answer Keys (TAK) to normalize your output, that normalization will appear in your output file. A normalized or formatted section will be included in your document, which details the normalization expectation, whether or not it was successful, and the original format of the text.
A Note on Normalization with Autoreview
Autoreview users who have normalized their results will need to modify their autoreview scripts and their integration with downstream systems. Downstream systems and autoreview scripts should be updated to use the normalized values as the final value rather than the original text.
To update autoreview scripts: Change
prediction["text"]toprediction["normalized"]["formatted"]in autoreview and post-processing code.
{
"file_version": 1,
"submission_id": 91111,
"etl_output": "indico-file:///storage/submission/3106/93449/1111/etl_output.json",
"results": {
"document": {
"results": {
"Test Workflow": [
{
"start": 410,
"end": 432,
"label": "Income Amount",
"confidence": {
"Asset Value": 0.001380413887090981,
"Date of Appointment": 3.0055036859266693e-7,
"Department": 3.4668929060899245e-7,
"Income Amount": 0.7819252610206604,
"Liability Amount": 8.27995336294407e-6,
"Liability Type": 1.7472679019192583e-6,
"Name": 1.465798504796112e-6,
"Position": 7.679560098949878e-7,
"Previous Organization": 1.8361643014941365e-6,
"Previous Position": 1.587482643117255e-6
},
"field_id": 91111,
"page_num": 0,
"text": "00 6,575.91 6,575.91 0",
"normalized": {
"text": "00 6,575.91 6,575.91 0",
"start": 410,
"end": 412,
"structured": {
"currency": null,
"amount": 0.0,
"currency_symbol": null
},
"formatted": "$0.00",
"status": "SUCCESS",
"validation": [
{
"validation_type": "TYPE_CONVERSION",
"error_message": null,
"validation_status": "SUCCESS"
}
]
}
},
{
"start": 433,
"end": 436,
"label": "Income Amount",
"confidence": {
"Asset Value": 0.010080317035317421,
"Date of Appointment": 5.33476793407317e-7,
"Department": 5.270041469884745e-7,
"Income Amount": 0.6256295442581177,
"Liability Amount": 0.000012726128261419944,
"Liability Type": 5.120524292578921e-6,
"Name": 5.42804627912119e-7,
"Position": 7.942233537505672e-7,
"Previous Organization": 4.114456714887638e-6,
"Previous Position": 6.950397164473543e-6
},
"field_id": 91111,
"page_num": 0,
"text": "000",
"normalized": {
"text": "000",
"start": 433,
"end": 436,
"structured": {
"currency": null,
"amount": 0.0,
"currency_symbol": null
},
"formatted": "$0.00",
"status": "SUCCESS",
"validation": [
{
"validation_type": "TYPE_CONVERSION",
"error_message": null,
"validation_status": "SUCCESS"
}
]
}
},{
"file_version": 3,
"submission_id": 25542,
"modelgroup_metadata": {
"12842": {
"id": 12842,
"task_type": "annotation",
"name": "invoices",
"selected_model": {
"id": 18969,
"model_type": "finetune"
}
}
},
"submission_results": [
{
"submissionfile_id": 26781,
"etl_output": "indico-file:///storage/submission/10000/2000/20001/etl_output.json",
"input_filename": "amazonaws.pdf",
"input_filepath": "indico-file:///storage/submission/15200/25542/26781.pdf",
"input_filesize": 105501,
"model_results": {
"ORIGINAL": {
"12842": [
{
"label": "vendor",
"spans": [
{
"start": 29,
"end": 54,
"page_num": 0
}
],
"span_id": "26781:c:62510:idx:0",
"confidence": {
"invoice": 0.00000904287207958987,
"vendor": 0.9999739527702332
},
"field_id": 7220809,
"text": "Amazon Web Services, Inc.",
"normalized": {
"text": "Amazon Web Services, Inc.",
"start": 29,
"end": 54,
"structured": null,
"formatted": "Amazon Web Services, Inc.",
"status": "SUCCESS",
"validation": [
{
"validation_type": "TYPE_CONVERSION",
"error_message": null,
"validation_status": "SUCCESS"
}
]
}
},
{
"label": "invoice",
"spans": [
{
"start": 164,
"end": 173,
"page_num": 0
}
],
"span_id": "26781:c:62510:idx:1",
"confidence": {
"invoice": 0.9999997615814209,
"vendor": 5.3698755664299824e-8
},
"field_id": 7220808,
"text": "234983902",
"normalized": {
"text": "234983902",
"start": 164,
"end": 173,
"structured": null,
"formatted": "234983902",
"status": "SUCCESS",
"validation": [
{
"validation_type": "TYPE_CONVERSION",
"error_message": null,
"validation_status": "SUCCESS"
}
]
}
}
]
}
},
"component_results": {
"ORIGINAL": {}
},
"rejected": {
"models": {
"12842": []
},
"components": {}
}
},
],
"reviews": {}
}Output with Review/Autoreview
Raw result files remain unaltered to guarantee that all reviewers can access and evaluate the original file consistently. Results that undergo review closely resemble standard results but include additional nested sections: pre-review, final, post-review, and reviews_meta for each model group. Confidence levels are not provided for results that incorporate reviewer corrections.
See the comments for in-context code explanation.
A note on normalization with autoreview
Autoreview users who have normalized their results will need to modify their autoreview scripts and their integration with downstream systems. Downstream systems and autoreview scripts should be updated to use the normalized values as the final value rather than the original text.
To update autoreview scripts: Change
prediction["text"]toprediction["normalized"]["formatted"]in autoreview and post-processing code or setprediction["normalized"]["formatted"]in addition toprediction["text"]in autoreview alone.
{
"submission_id": 23,
"etl_output": "foo_etl-output.json",
"errors": [],
"results": {
"document": {
"results": {
"bar": {
"pre_review": [
{
"etl": "Lorem Ipsum"
}
],
"post_reviews": [
[
{
"etl": "dolor sit amet"
}
],
[
{
"etl": "consectetur adipiscing elit"
}
]
],
"final": [
{
"etl": "consectetur adipiscing elit"
}
]
}
}
}
},
"reviews_meta": [
{
"review_id": 2,
"reviewer_id": 2,
"review_notes": "Fooey",
"review_rejected": false,
"review_type": "manual"
},
{
"review_id": 1,
"reviewer_id": 1,
"review_notes": null,
"review_rejected": false,
"review_type": "manual"
}
],
"file_version": 1,
"review_id": 1,
"reviewer_id": 1,
"review_notes": null,
"review_rejected": false,
"review_type": "manual"
}{
"file_version": 3,
"submission_id": 21111,
"modelgroup_metadata": {
"12111": {
"id": 12111,
"task_type": "annotation",
"name": "invoices",
"selected_model": {
"id": 18111,
"model_type": "finetune"
}
}
},
"submission_results": [
{
"submissionfile_id": 26111,
"etl_output": "indico-file:///storage/submission/10000/2000/20001/etl_output.json",
"input_filename": "amazonaws.pdf",
"input_filepath": "indico-file:///storage/submission/15200/25542/1111.pdf",
"input_filesize": 105501,
"model_results": {
"ORIGINAL": {
"11111": [
{
"label": "vendor",
"spans": [
{
"start": 29,
"end": 54,
"page_num": 0
}
],
"span_id": "26781:c:62510:idx:0",
"confidence": {
"invoice": 0.00000904287207958987,
"vendor": 0.9999739527702332
},
"field_id": 7220809,
"text": "Amazon Web Services, Inc.",
# Only for models with normalized output
"normalized": {
"text": "Amazon Web Services, Inc.",
"start": 29,
"end": 54,
"structured": null,
"formatted": "Amazon Web Services, Inc.",
"status": "SUCCESS",
"validation": [
{
"validation_type": "TYPE_CONVERSION",
"error_message": null,
"validation_status": "SUCCESS"
}
]
}
},
{
"label": "invoice",
"spans": [
{
"start": 164,
"end": 173,
"page_num": 0
}
],
}
]
}
},
"component_results": {
"ORIGINAL": {}
},
"rejected": {
"models": {
"12842": []
},
"components": {}
}
},
],
"reviews": {}
}Output with Summarization Enabled
- Summarization (Version 1): In version 1, the output with summaries contains similar dictionary outputs to single classification models with the addition of both summary text and citation data contained in the
textkey, where each model’s output is structured as a dictionary rather than an array. - Summarization (Version 3): In version 3, the output is structured as an array with one entry per file in the submission. Each entry includes the summary text and citation data, which point back to segments in the source document.
Citation formatting
The citation's included in your output have two ranges:
- One that points to the text in the source document
- And another that links to the text in the generated summary.
Each citation corresponds to a specific segment of the generated summary. For instance, "[1-2]" indicates that a section of the summary is based on two different parts of the source document. These citations replace full phrases or sentences in the summary text and are indicated by numbers such as "[0]" or similar.
"summary_model": {
"field_id": 162,
"confidence": {
"foo": 1.0
},
"label": "foo",
"text": "• This document is a Restrictive Covenant and Confidentiality Agreement between Federal Home Loan Mortgage Corporation (Freddie Mac) and Donald J. Bisenius, effective from 11th March 2001 [0].\n• The agreement states that upon termination of employment with Freddie Mac, all materials embodying Confidential Information must be returned to the company [1-2]. \n• Confidential Information consists of various types of proprietary or confidential information relating to Freddie Mac's business, products, customers, and third parties [4][6]. \n• The agreement also contains a non-competition clause, which prevents the executive from seeking or accepting employment with any competitor of Freddie Mac for twelve months after termination of employment with Freddie Mac [12-13]. \n• Furthermore, the executive is prohibited from soliciting any Freddie Mac managerial employee for a period of twelve months after the termination date [23].\n• In exchange for agreeing to be employed by Freddie Mac under the conditions of this agreement, Freddie Mac will provide the executive with a twelve-month severance and a long-term incentive grant [31][36][39]. \n• The agreement is governed by the laws of the Commonwealth of Virginia [7]. \n• The executive acknowledges that breaching this agreement could result in discipline, including termination of employment [38][42].",
"citations": [
{
"document": {
"start": 0,
"end": 394,
"page_num": 0
},
"response": {
"start": 188,
"end": 191
}
},
...
]
}
},"model_results": {
"ORIGINAL": {
"160": [
{
"field_id": 160,
"confidence": {
"foo": 1.0
},
"label": "foo",
"text": "• The document discusses three national parks in the United States: Dry Tortugas in Florida, Denali in Alaska, and Gates of the Arctic also in Alaska. \n• Dry Tortugas, established on October 26, 1992, is located at the westernmost end of the Florida Keys and is home to Fort Jefferson, the largest masonry structure in the Western Hemisphere. The park features undisturbed coral reefs and shipwrecks and is only accessible by plane or boat [0][4].\n• Denali, established on February 26, 1917, is centered around Denali, the tallest mountain in North America. The park is home to various wildlife species including grizzly bears, Dall sheep, Porcupine caribou, and wolves [1].\n• Gates of the Arctic, established on December 2, 1980, is the northernmost park in the country, located in Alaska's Brooks Range. The park does not have any facilities and has been home to Alaska Natives for 11,000 years [6].",
"citations": [
{
"document": {
"start": 16739,
"end": 17085,
"page_num": 6
},
"response": {
"start": 440,
"end": 443
}
},
...
],
"ctx_id": "75:c:489:idx:1"
},
{
"field_id": 160,
"confidence": {
"foo": 1.0
},
"label": "foo",
"text": "• The Gateway Arch, located in Missouri, is a 630-foot catenary arch built to commemorate the Lewis and Clark Expedition and the subsequent westward expansion of the country. It's located near the old courthouse, the first site of the Dred Scott case about slavery[0-1].\n• Waterton-Glacier International Peace Park, located in Montana, includes 26 glaciers and 130 named lakes surrounded by Rocky Mountain peaks, and it's home to historic hotels and the landmark Going-to-the-Sun Road[2-3].\n• Glacier Bay, situated in Alaska, contains tidewater glaciers, mountains, fjords, a temperate rainforest, and is home to a large population of grizzly bears, mountain goats, whales, seals, and eagles[4-5].\n• The Grand Canyon, located in Arizona, is a large canyon carved by the Colorado River. It's 277 miles long, up to 1 mile deep, and up to 15 miles wide. The erosion over millions of years has exposed the multicolored layers of the Colorado Plateau in mesas and canyon walls[6-7].",
"citations": [
{
"document": {
"start": 17757,
"end": 18405,
"page_num": 7
},
"response": {
"start": 264,
"end": 269
}
},
...
],
"ctx_id": "75:c:489:idx:2"
},
...
],Updated 4 days ago