{"observation":{"id":"f376333b-6c46-4298-91ee-eddd286afd5d","tool":"datalab","tool_name":"Datalab","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":"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.","evidence_state":"verified","source":null,"artifacts":[{"url":"https://d3epheqghktydj.cloudfront.net/research-media-datalab-invoice-line-item-2-ab8a8332ed35.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":"datalab","tool_url":"https://aidemos.com/tools/datalab","permalink":"https://aidemos.com/evidence/f376333b-6c46-4298-91ee-eddd286afd5d","api_url":"https://ai.aidemos.com/v1/observations/f376333b-6c46-4298-91ee-eddd286afd5d"},"peers":[{"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":"0768d86c-2233-428d-9d43-a4c32b86f2c2","tool":"retab","tool_name":"Retab","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.","artifact_count":1,"thumbnail":"https://d3epheqghktydj.cloudfront.net/research-media-retab-invoice-extracted-line-item-ff712d23f334.png","evidence_url":"https://aidemos.com/evidence/0768d86c-2233-428d-9d43-a4c32b86f2c2"},{"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":"76f5a5f0-1389-4341-a623-595405cf206b","criterion":"extraction-accuracy","criterion_name":"Extraction Accuracy","rank_role":"decisive","verdict":"worked","score":null,"score_total":null,"note":"Extracts the invoice metadata and monetary values accurately, including invoice 4064621-1, invoice date 10/28/12, gross_total 29750, agency_commission 4462.5, net_amount_due 25287.5, and payment_terms 30 Days.","artifact_count":2,"evidence_url":"https://aidemos.com/evidence/76f5a5f0-1389-4341-a623-595405cf206b"},{"id":"c01474f8-d601-4535-b19c-9ab5759d7f35","criterion":"schema-adherence","criterion_name":"Schema Adherence","rank_role":"decisive","verdict":"worked","score":null,"score_total":null,"note":"Reconstructs the invoice into nested JSON objects and arrays that follow the supplied schema, including invoice_metadata and line_items rather than returning generic OCR text.","artifact_count":5,"evidence_url":"https://aidemos.com/evidence/c01474f8-d601-4535-b19c-9ab5759d7f35"},{"id":"df4d4c76-2422-413b-9d07-a3489b53cb50","criterion":"structural-clean-output","criterion_name":"Structural Clean Output","rank_role":"context","verdict":"mixed","score":null,"score_total":null,"note":"The generated JSON is structurally valid but not order-stable: line_items appears before other top-level sections that were defined earlier in the supplied schema.","artifact_count":2,"evidence_url":"https://aidemos.com/evidence/df4d4c76-2422-413b-9d07-a3489b53cb50"},{"id":"a2dfbd36-ebfc-4d14-ab59-0d615bee1ed4","criterion":"table-and-record-completeness","criterion_name":"Table & Record Completeness","rank_role":"decisive","verdict":"worked","score":null,"score_total":null,"note":"Keeps all 8 advertising spots as separate line-item records, with the JSON tree showing indices 0 through 7 and no adjacent-row merging.","artifact_count":2,"evidence_url":"https://aidemos.com/evidence/a2dfbd36-ebfc-4d14-ab59-0d615bee1ed4"}],"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":"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":"0768d86c-2233-428d-9d43-a4c32b86f2c2","tool":"retab","tool_name":"Retab","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."},{"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."}]}