{"observation":{"id":"b9247b59-eb1e-4af9-be1b-8c3a5de68f1c","tool":"llamaparse","tool_name":"LlamaParse","criterion":"table-and-record-completeness","criterion_name":"Table & Record Completeness","criterion_definition":"Are all tabular rows (transactions, line items) extracted without merging, duplication, omission, or phantom records?","criterion_evidence_type":"transformation","criterion_rank_role":"decisive","criterion_rank_role_reason":"For document data extraction, missing, merged, duplicated, or phantom rows directly corrupt the structured dataset and break downstream querying. (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":"Extracts the invoice line_items table as 8 separate records (indices 0 through 7) without merging adjacent rows.","evidence_state":"verified","source":null,"artifacts":[{"url":"https://d3epheqghktydj.cloudfront.net/research-media-llamaparse-invoice-extracted-line-items-eb4fd58a2160.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":"llamaparse","tool_url":"https://aidemos.com/tools/llamaparse","permalink":"https://aidemos.com/evidence/b9247b59-eb1e-4af9-be1b-8c3a5de68f1c","api_url":"https://ai.aidemos.com/v1/observations/b9247b59-eb1e-4af9-be1b-8c3a5de68f1c"},"peers":[{"id":"a2dfbd36-ebfc-4d14-ab59-0d615bee1ed4","tool":"datalab","tool_name":"Datalab","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,"thumbnail":"https://d3epheqghktydj.cloudfront.net/research-media-datalab-invoice-line-items-d9e385e05d92.png","evidence_url":"https://aidemos.com/evidence/a2dfbd36-ebfc-4d14-ab59-0d615bee1ed4"},{"id":"6af0c5f8-49f9-4f6a-abc9-05b7feff51df","tool":"extend-ai","tool_name":"Extend AI","verdict":"worked","score":null,"score_total":null,"note":"It extracts all eight invoice line items as separate rows, preserving description, airtime, rate, flight period, reference number, and campaign IDs without merging records.","artifact_count":2,"thumbnail":"https://d3epheqghktydj.cloudfront.net/research-media-extendai-extracted-invoice-line-items-a11681b31146.png","evidence_url":"https://aidemos.com/evidence/6af0c5f8-49f9-4f6a-abc9-05b7feff51df"},{"id":"4e54005c-915d-492b-8121-ad1d06573a45","tool":"landing-ai","tool_name":"Landing AI","verdict":"worked","score":null,"score_total":null,"note":"Extracts all 8 advertising line items as separate records, preserving the row count and scheduling structure instead of collapsing the table.","artifact_count":2,"thumbnail":"https://d3epheqghktydj.cloudfront.net/research-media-landing-ai-invoice-extracted-line-items-5af44b5e570e.png","evidence_url":"https://aidemos.com/evidence/4e54005c-915d-492b-8121-ad1d06573a45"},{"id":"513d08f7-b8e4-41ad-ad57-d1d53f2bd1ed","tool":"nanonets","tool_name":"Nanonets","verdict":"worked","score":null,"score_total":null,"note":"It extracts all 8 advertising line items as separate records without row merging or duplication.","artifact_count":1,"thumbnail":"https://d3epheqghktydj.cloudfront.net/research-media-docstrange-nanonets-extracted-line-items-5ec513388423.png","evidence_url":"https://aidemos.com/evidence/513d08f7-b8e4-41ad-ad57-d1d53f2bd1ed"},{"id":"81b7587f-2501-40f8-a7d7-b02229b4e3ee","tool":"reducto","tool_name":"Reducto","verdict":"worked","score":null,"score_total":null,"note":"Keeps all 8 invoice line items as separate structured rows without merging adjacent entries.","artifact_count":2,"thumbnail":"https://d3epheqghktydj.cloudfront.net/research-media-reducto-invoice-extracted-line0items-e23fe4fdf946.png","evidence_url":"https://aidemos.com/evidence/81b7587f-2501-40f8-a7d7-b02229b4e3ee"},{"id":"351eae64-d136-45cf-bf96-05708a002c49","tool":"retab","tool_name":"Retab","verdict":"worked","score":null,"score_total":null,"note":"Reconstructs all 8 advertising line items as separate records without duplication or omission.","artifact_count":1,"thumbnail":"https://d3epheqghktydj.cloudfront.net/research-media-retab-invoice-extracted-line-items-b376a1b8acd0.png","evidence_url":"https://aidemos.com/evidence/351eae64-d136-45cf-bf96-05708a002c49"},{"id":"8046a259-1d96-4eda-b1e1-538b98bba040","tool":"unstract","tool_name":"Unstract","verdict":"worked","score":null,"score_total":null,"note":"Carries a line item cleanly across the page break without duplicating or losing the row, showing page-break continuity in the line_items array.","artifact_count":3,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/23a19775078e4e32b6af7a1f632e9536.png?v=1","evidence_url":"https://aidemos.com/evidence/8046a259-1d96-4eda-b1e1-538b98bba040"}],"other_criteria":[{"id":"60b3eaf0-635a-4363-9547-53cae8bcb695","criterion":"extraction-accuracy","criterion_name":"Extraction Accuracy","rank_role":"decisive","verdict":"worked","score":null,"score_total":null,"note":"Matches the source invoice totals and payment terms: aired_spots 8, gross_total 29750, agency_commission 4462.5, net_amount_due 25287.5, and payment_terms \"30 Days\".","artifact_count":1,"evidence_url":"https://aidemos.com/evidence/60b3eaf0-635a-4363-9547-53cae8bcb695"},{"id":"0b3ba3e3-dd88-4377-97f7-2da41c08c915","criterion":"schema-adherence","criterion_name":"Schema Adherence","rank_role":"decisive","verdict":"worked","score":null,"score_total":null,"note":"Keeps the invoice hierarchy intact, emitting invoice_metadata, advertiser, station, line_items, and summary objects rather than flat OCR text.","artifact_count":2,"evidence_url":"https://aidemos.com/evidence/0b3ba3e3-dd88-4377-97f7-2da41c08c915"},{"id":"e8595df9-eff1-4a6e-8be3-bd38b9254082","criterion":"semantic-field-enrichment","criterion_name":"Semantic Field Enrichment","rank_role":"decisive","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,"evidence_url":"https://aidemos.com/evidence/e8595df9-eff1-4a6e-8be3-bd38b9254082"}],"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":"a2dfbd36-ebfc-4d14-ab59-0d615bee1ed4","tool":"datalab","tool_name":"Datalab","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."},{"id":"6af0c5f8-49f9-4f6a-abc9-05b7feff51df","tool":"extend-ai","tool_name":"Extend AI","verdict":"worked","score":null,"score_total":null,"note":"It extracts all eight invoice line items as separate rows, preserving description, airtime, rate, flight period, reference number, and campaign IDs without merging records."},{"id":"4e54005c-915d-492b-8121-ad1d06573a45","tool":"landing-ai","tool_name":"Landing AI","verdict":"worked","score":null,"score_total":null,"note":"Extracts all 8 advertising line items as separate records, preserving the row count and scheduling structure instead of collapsing the table."},{"id":"513d08f7-b8e4-41ad-ad57-d1d53f2bd1ed","tool":"nanonets","tool_name":"Nanonets","verdict":"worked","score":null,"score_total":null,"note":"It extracts all 8 advertising line items as separate records without row merging or duplication."},{"id":"81b7587f-2501-40f8-a7d7-b02229b4e3ee","tool":"reducto","tool_name":"Reducto","verdict":"worked","score":null,"score_total":null,"note":"Keeps all 8 invoice line items as separate structured rows without merging adjacent entries."},{"id":"351eae64-d136-45cf-bf96-05708a002c49","tool":"retab","tool_name":"Retab","verdict":"worked","score":null,"score_total":null,"note":"Reconstructs all 8 advertising line items as separate records without duplication or omission."},{"id":"8046a259-1d96-4eda-b1e1-538b98bba040","tool":"unstract","tool_name":"Unstract","verdict":"worked","score":null,"score_total":null,"note":"Carries a line item cleanly across the page break without duplicating or losing the row, showing page-break continuity in the line_items array."}]}