{"observation":{"id":"0768d86c-2233-428d-9d43-a4c32b86f2c2","tool":"retab","tool_name":"Retab","criterion":"semantic-field-enrichment","criterion_name":"Semantic Field Enrichment","criterion_definition":"Are derived fields — transaction_type, transaction_id, cheque_number, day patterns, ad codes — correctly classified or extracted beyond raw OCR?","criterion_evidence_type":"transformation","criterion_rank_role":"decisive","criterion_rank_role_reason":"This ranking is not just about copying OCR text; it also depends on whether the tool can correctly infer or classify document-specific fields needed for useful structured output. (3 of 3 judges)","scenario":"invoice-pdf","scenario_name":"Invoice PDF","group_tag":"financial-document-extraction","scenario_description":"A 2-page broadcast advertising invoice PDF with 8 line items, complex time/day fields, large dollar amounts, and compliance text, used to test hierarchical line-item extraction and financial validation.","modality":"pdf","input_text":null,"input_artifact_refs":[{"alt":null,"url":null,"role":null,"filename":"Invoice PDF.pdf"}],"stresses":["Nested line-item hierarchy extraction","Multi-page line-item continuity across a page break","Large dollar amount precision and total validation","Parsing time slots, day patterns, and air dates","Extraction of alphanumeric ad IDs and reference codes","Structured metadata mapping for advertiser, station, billing, and remit sections","Political advertising and FCC compliance text recognition"],"verdict":"worked","score":null,"score_total":null,"note":"Derives scheduling fields beyond raw OCR, including day_of_week Su and days_pattern ------S for a line item, along with air_time, time_slot, and ad_id.","evidence_state":"verified","source":null,"artifacts":[{"url":"https://d3epheqghktydj.cloudfront.net/research-media-retab-invoice-extracted-line-item-ff712d23f334.png","role":"output","alt":null}],"run_id":"ec4d736d-95f9-4c88-884c-e280435f7b7b","study_title":"Extract and query structured data from documents using natural language","study_kind":"generation","research_task":"86b9y25e5","tested_at":null,"completeness":"output-only","input":{"state":"not-captured","text":null,"files":[],"modality":"pdf","stresses":["Nested line-item hierarchy extraction","Multi-page line-item continuity across a page break","Large dollar amount precision and total validation","Parsing time slots, day patterns, and air dates","Extraction of alphanumeric ad IDs and reference codes","Structured metadata mapping for advertiser, station, billing, and remit sections","Political advertising and FCC compliance text recognition"]},"tool_page_slug":"retab","tool_url":"https://aidemos.com/tools/retab","permalink":"https://aidemos.com/evidence/0768d86c-2233-428d-9d43-a4c32b86f2c2","api_url":"https://ai.aidemos.com/v1/observations/0768d86c-2233-428d-9d43-a4c32b86f2c2"},"peers":[{"id":"f376333b-6c46-4298-91ee-eddd286afd5d","tool":"datalab","tool_name":"Datalab","verdict":"worked","score":null,"score_total":null,"note":"Correctly extracts derived scheduling fields on line 2, including day_of_week Su, time_slot 9a-10a, air_time 9:38 AM, and ad_id NRCCWI071005.","artifact_count":1,"thumbnail":"https://d3epheqghktydj.cloudfront.net/research-media-datalab-invoice-line-item-2-ab8a8332ed35.png","evidence_url":"https://aidemos.com/evidence/f376333b-6c46-4298-91ee-eddd286afd5d"},{"id":"b387cbf1-3dca-4b92-9a44-768b8a7f0926","tool":"extend-ai","tool_name":"Extend AI","verdict":"worked","score":null,"score_total":null,"note":"It derives non-OCR line-item fields such as `day_of_week`, `days_pattern`, `time_slot`, and `air_time`.","artifact_count":1,"thumbnail":"https://d3epheqghktydj.cloudfront.net/research-media-extend-ai-invoice-line-item-6-6c1cfecca1da.png","evidence_url":"https://aidemos.com/evidence/b387cbf1-3dca-4b92-9a44-768b8a7f0926"},{"id":"16a432ba-f975-4195-9525-e97b93220074","tool":"landing-ai","tool_name":"Landing AI","verdict":"worked","score":null,"score_total":null,"note":"Populates derived line-item fields such as day_of_week \"M\", days_pattern \"MTWT\", time_slot \"430a-5a\", and ad_id \"NRCCW1071005\" on line item 1.","artifact_count":3,"thumbnail":"https://d3epheqghktydj.cloudfront.net/research-media-landing-ai-extracted-line-item-1-6f5a3b324a8b.png","evidence_url":"https://aidemos.com/evidence/16a432ba-f975-4195-9525-e97b93220074"},{"id":"e8595df9-eff1-4a6e-8be3-bd38b9254082","tool":"llamaparse","tool_name":"LlamaParse","verdict":"worked","score":null,"score_total":null,"note":"Correctly derives scheduling metadata in line items, including day_of_week, time_slot, flight_period_start/end, frequency, and days_pattern such as \"---T---\".","artifact_count":2,"thumbnail":"https://d3epheqghktydj.cloudfront.net/research-media-llamaparse-invoice-extracted-line-item-2-f4ecd3c8fd80.png","evidence_url":"https://aidemos.com/evidence/e8595df9-eff1-4a6e-8be3-bd38b9254082"},{"id":"7cf62e7e-87da-4954-bf96-84c30a5465e3","tool":"nanonets","tool_name":"Nanonets","verdict":"worked","score":null,"score_total":null,"note":"The tool correctly enriches ordinary invoice rows with derived scheduling fields such as time_slot, day_of_week, flight_period_start/end, frequency, and days_pattern on line items like line 4.","artifact_count":2,"thumbnail":"https://d3epheqghktydj.cloudfront.net/research-media-invoice-line-item-8-ae95b671f1c5.png","evidence_url":"https://aidemos.com/evidence/7cf62e7e-87da-4954-bf96-84c30a5465e3"},{"id":"9499ff43-0583-4050-bfe1-951e5a7fb8af","tool":"reducto","tool_name":"Reducto","verdict":"worked","score":null,"score_total":null,"note":"Surfaces derived line-item metadata as structured fields, including frequency = 1x with citation support.","artifact_count":2,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/095fac7ce60b4f339aefe2ccaed96912.png?v=1","evidence_url":"https://aidemos.com/evidence/9499ff43-0583-4050-bfe1-951e5a7fb8af"},{"id":"4aecc9a8-5ccf-4aa9-af98-482f367c634d","tool":"unstract","tool_name":"Unstract","verdict":"worked","score":null,"score_total":null,"note":"Extracts the compact days_pattern field correctly as the actual single broadcast-day letter.","artifact_count":2,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/f76d402f677748dfa30611569dbbc5f2.pdf?v=1","evidence_url":"https://aidemos.com/evidence/4aecc9a8-5ccf-4aa9-af98-482f367c634d"}],"other_criteria":[{"id":"a764ebf7-c927-4d60-92f5-68838d5361f4","criterion":"extraction-accuracy","criterion_name":"Extraction Accuracy","rank_role":"decisive","verdict":"mixed","score":null,"score_total":null,"note":"Retains the source label in payment_terms, returning Payment Terms 30 Days instead of only the requested value, so a cleanup step is needed.","artifact_count":1,"evidence_url":"https://aidemos.com/evidence/a764ebf7-c927-4d60-92f5-68838d5361f4"},{"id":"545de688-ed6b-41cf-aa4b-3f3edbf02217","criterion":"extraction-accuracy","criterion_name":"Extraction Accuracy","rank_role":"decisive","verdict":"worked","score":null,"score_total":null,"note":"Extracts key invoice metadata values as typed fields, including invoice_number 4064621-1, invoice_date 2012-10-28, estimate_number 2968, and order_number 4064621.","artifact_count":1,"evidence_url":"https://aidemos.com/evidence/545de688-ed6b-41cf-aa4b-3f3edbf02217"},{"id":"9e5c5bc7-673d-467a-90cc-75c7c06dea40","criterion":"extraction-accuracy","criterion_name":"Extraction Accuracy","rank_role":"decisive","verdict":"worked","score":null,"score_total":null,"note":"Carries the financial summary through consistently, including agency_commission 4462.5, aired_spots 8, gross_total 29750, and net_amount_due 25287.5.","artifact_count":1,"evidence_url":"https://aidemos.com/evidence/9e5c5bc7-673d-467a-90cc-75c7c06dea40"},{"id":"38fc2de5-4406-486b-9a50-fa39c4b5e88a","criterion":"schema-adherence","criterion_name":"Schema Adherence","rank_role":"decisive","verdict":"worked","score":null,"score_total":null,"note":"Builds the requested invoice hierarchy with separate invoice_metadata, advertiser, station, account_details, billing_address, remit_address, flight_dates, line_items, and summary objects instead of a flat OCR dump.","artifact_count":3,"evidence_url":"https://aidemos.com/evidence/38fc2de5-4406-486b-9a50-fa39c4b5e88a"},{"id":"b78d37af-33a7-4f25-91f5-6a7c39e2f334","criterion":"structural-clean-output","criterion_name":"Structural Clean Output","rank_role":"context","verdict":"mixed","score":null,"score_total":null,"note":"Does not preserve the schema-defined property order, so consumers that rely on key order need an extra formatting pass.","artifact_count":2,"evidence_url":"https://aidemos.com/evidence/b78d37af-33a7-4f25-91f5-6a7c39e2f334"},{"id":"351eae64-d136-45cf-bf96-05708a002c49","criterion":"table-and-record-completeness","criterion_name":"Table & Record Completeness","rank_role":"decisive","verdict":"worked","score":null,"score_total":null,"note":"Reconstructs all 8 advertising line items as separate records without duplication or omission.","artifact_count":1,"evidence_url":"https://aidemos.com/evidence/351eae64-d136-45cf-bf96-05708a002c49"}],"appears_in":[{"page_type":"ranking","slug":"document-extraction","title":"Best AI Tools for Extracting Structured Data from PDFs and Business Documents","url":"https://aidemos.com/best/document-extraction","binding":"run"},{"page_type":"tool","slug":"unstract","title":null,"url":"https://aidemos.com/tools/unstract","binding":"run"}],"same_scenario":[{"id":"f376333b-6c46-4298-91ee-eddd286afd5d","tool":"datalab","tool_name":"Datalab","verdict":"worked","score":null,"score_total":null,"note":"Correctly extracts derived scheduling fields on line 2, including day_of_week Su, time_slot 9a-10a, air_time 9:38 AM, and ad_id NRCCWI071005."},{"id":"b387cbf1-3dca-4b92-9a44-768b8a7f0926","tool":"extend-ai","tool_name":"Extend AI","verdict":"worked","score":null,"score_total":null,"note":"It derives non-OCR line-item fields such as `day_of_week`, `days_pattern`, `time_slot`, and `air_time`."},{"id":"16a432ba-f975-4195-9525-e97b93220074","tool":"landing-ai","tool_name":"Landing AI","verdict":"worked","score":null,"score_total":null,"note":"Populates derived line-item fields such as day_of_week \"M\", days_pattern \"MTWT\", time_slot \"430a-5a\", and ad_id \"NRCCW1071005\" on line item 1."},{"id":"e8595df9-eff1-4a6e-8be3-bd38b9254082","tool":"llamaparse","tool_name":"LlamaParse","verdict":"worked","score":null,"score_total":null,"note":"Correctly derives scheduling metadata in line items, including day_of_week, time_slot, flight_period_start/end, frequency, and days_pattern such as \"---T---\"."},{"id":"7cf62e7e-87da-4954-bf96-84c30a5465e3","tool":"nanonets","tool_name":"Nanonets","verdict":"worked","score":null,"score_total":null,"note":"The tool correctly enriches ordinary invoice rows with derived scheduling fields such as time_slot, day_of_week, flight_period_start/end, frequency, and days_pattern on line items like line 4."},{"id":"9499ff43-0583-4050-bfe1-951e5a7fb8af","tool":"reducto","tool_name":"Reducto","verdict":"worked","score":null,"score_total":null,"note":"Surfaces derived line-item metadata as structured fields, including frequency = 1x with citation support."},{"id":"4aecc9a8-5ccf-4aa9-af98-482f367c634d","tool":"unstract","tool_name":"Unstract","verdict":"worked","score":null,"score_total":null,"note":"Extracts the compact days_pattern field correctly as the actual single broadcast-day letter."}]}