{"observation":{"id":"282ed571-0060-4232-a17c-d4a8f9a26056","tool":"retab","tool_name":"Retab","criterion":"structural-clean-output","criterion_name":"Structural Clean Output","criterion_definition":"Is the JSON directly consumable by a downstream AI pipeline or system without requiring a structural transformation layer?","criterion_evidence_type":"transformation","criterion_rank_role":"context","criterion_rank_role_reason":"Being directly consumable by a downstream pipeline is valuable, but it is more about integration convenience than whether the tool actually extracts the data correctly. (3 of 3 judges)","scenario":"invoice-pdf","scenario_name":"Invoice PDF","group_tag":"business-document-extraction","scenario_description":"A two-page broadcast advertising invoice PDF with nested header metadata, billing and remit addresses, and eight line items spanning a page break. It was used to stress hierarchical line-item extraction, amount precision, time/day parsing, code extraction, and summary validation.","modality":"pdf","input_text":null,"input_artifact_refs":[{"alt":null,"url":"https://cdn.futuresmart.ai/public/aidemos/e0e9f678bcde4e29a492a11927fc38f7.pdf?v=1","role":"input","filename":"Invoice PDF.pdf"}],"stresses":["Nested line-item hierarchy extraction","Multi-page continuity across a page break","Precision on large dollar amounts and totals","Parsing complex time slots and day patterns","Extraction of Ad IDs and reconciliation codes","Mapping structured metadata sections correctly","Financial summary validation","Handling political advertising compliance text"],"verdict":"struggled","score":null,"score_total":null,"note":"Preserves valid JSON but does not keep the schema's original key order, so downstream consumers that expect schema-consistent ordering need an extra formatting step.","evidence_state":"verified","source":null,"artifacts":[{"url":"https://d3epheqghktydj.cloudfront.net/research-media-invoice-schema-order-85baff3c493d.png","role":"input","alt":null},{"url":"https://d3epheqghktydj.cloudfront.net/research-media-retab-invoice-schema-order-4df9e06bef88.png","role":"output","alt":null}],"run_id":"a061b9e7-a9c5-443d-a171-b296aaf51b8c","study_title":"Extract and query structured data from documents using natural language","study_kind":"generation","research_task":"86b9y25e5","tested_at":null,"completeness":"input-and-output","input":{"state":"files","text":null,"files":[{"url":"https://cdn.futuresmart.ai/public/aidemos/e0e9f678bcde4e29a492a11927fc38f7.pdf?v=1","filename":"Invoice PDF.pdf","alt":"Invoice PDF","role":"input"}],"modality":"pdf","stresses":["Nested line-item hierarchy extraction","Multi-page continuity across a page break","Precision on large dollar amounts and totals","Parsing complex time slots and day patterns","Extraction of Ad IDs and reconciliation codes","Mapping structured metadata sections correctly","Financial summary validation","Handling political advertising compliance text"]},"tool_page_slug":"retab","tool_url":"https://aidemos.com/tools/retab","permalink":"https://aidemos.com/evidence/282ed571-0060-4232-a17c-d4a8f9a26056","api_url":"https://ai.aidemos.com/v1/observations/282ed571-0060-4232-a17c-d4a8f9a26056"},"peers":[{"id":"d7313df2-02ba-4bef-aa11-d9889779422f","tool":"datalab","tool_name":"Datalab","verdict":"mixed","score":null,"score_total":null,"note":"The invoice JSON is structurally usable but not order-stable: the top-level keys are emitted in a fully shuffled order instead of the requested schema order.","artifact_count":3,"thumbnail":"https://d3epheqghktydj.cloudfront.net/research-media-invoice-schema-order-85baff3c493d.png","evidence_url":"https://aidemos.com/evidence/d7313df2-02ba-4bef-aa11-d9889779422f"},{"id":"34d850cc-ac0c-4e02-a62f-5f24678223a5","tool":"extend-ai","tool_name":"Extend AI","verdict":"worked","score":null,"score_total":null,"note":"The invoice output includes per-section OCR confidence metadata alongside the extracted fields while remaining machine-readable JSON that can be consumed without structural transformation.","artifact_count":1,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/416f869ecf584801a343b08e6a2734c6.png?v=1","evidence_url":"https://aidemos.com/evidence/34d850cc-ac0c-4e02-a62f-5f24678223a5"},{"id":"dbf84eab-a8e4-49e1-b7a5-ddf3319de6bc","tool":"landing-ai","tool_name":"Landing AI","verdict":"worked","score":null,"score_total":null,"note":"Returns directly consumable JSON for the invoice workflow, with the demo reaching extracted results and the report stating the JSON is immediately usable for integration.","artifact_count":2,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/19c0891ec10d462fbb4ae3555f7ed5f3.mp4?v=1","evidence_url":"https://aidemos.com/evidence/dbf84eab-a8e4-49e1-b7a5-ddf3319de6bc"}],"other_criteria":[{"id":"becc13cd-085e-4764-9236-2a1a4b27286c","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 the field is not fully normalized.","artifact_count":1,"evidence_url":"https://aidemos.com/evidence/becc13cd-085e-4764-9236-2a1a4b27286c"},{"id":"47b4144d-8a16-4da1-b57b-053ccceeae2b","criterion":"extraction-accuracy","criterion_name":"Extraction Accuracy","rank_role":"decisive","verdict":"worked","score":null,"score_total":null,"note":"Extracts the invoice summary totals correctly, 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/47b4144d-8a16-4da1-b57b-053ccceeae2b"},{"id":"6546352e-8587-4ca1-bd61-caf98ed0b7ce","criterion":"extraction-accuracy","criterion_name":"Extraction Accuracy","rank_role":"decisive","verdict":"worked","score":null,"score_total":null,"note":"Extracts invoice metadata with machine-readable values such as invoice_number 4064621-1, invoice_date 2012-10-28, invoice_period_start 2012-10-01, and advertiser_code 155.","artifact_count":1,"evidence_url":"https://aidemos.com/evidence/6546352e-8587-4ca1-bd61-caf98ed0b7ce"},{"id":"1aade406-f689-48ea-92b7-1b2089eae31b","criterion":"schema-adherence","criterion_name":"Schema Adherence","rank_role":"decisive","verdict":"worked","score":null,"score_total":null,"note":"Reconstructs the invoice schema into nested invoice_metadata, advertiser, station, account_details, billing_address, remit_address, flight_dates, line_items, and summary sections rather than returning a flat document dump.","artifact_count":2,"evidence_url":"https://aidemos.com/evidence/1aade406-f689-48ea-92b7-1b2089eae31b"},{"id":"767f2c35-435b-4239-986b-f1f0ae6517a8","criterion":"semantic-field-enrichment","criterion_name":"Semantic Field Enrichment","rank_role":"decisive","verdict":"worked","score":null,"score_total":null,"note":"Derives scheduling fields from the line item, including day_of_week 'Su', days_pattern '------S', air_time '09:38:00', and time_slot '9a-10a'.","artifact_count":1,"evidence_url":"https://aidemos.com/evidence/767f2c35-435b-4239-986b-f1f0ae6517a8"},{"id":"dcbeb5fd-b152-4212-82e3-048c6a20b6d6","criterion":"table-record-completeness","criterion_name":"Table & Record Completeness","rank_role":"decisive","verdict":"worked","score":null,"score_total":null,"note":"Extracts all 8 advertising line items as separate structured records without duplication or omission.","artifact_count":2,"evidence_url":"https://aidemos.com/evidence/dcbeb5fd-b152-4212-82e3-048c6a20b6d6"}],"appears_in":[{"page_type":"ranking","slug":"document-extraction","title":"Best AI Tools for Extracting Structured Data from Business Documents","url":"https://aidemos.com/best/document-extraction","binding":"run"},{"page_type":"tool","slug":"docsumo","title":null,"url":"https://aidemos.com/tools/docsumo","binding":"run"}],"same_scenario":[{"id":"d7313df2-02ba-4bef-aa11-d9889779422f","tool":"datalab","tool_name":"Datalab","verdict":"mixed","score":null,"score_total":null,"note":"The invoice JSON is structurally usable but not order-stable: the top-level keys are emitted in a fully shuffled order instead of the requested schema order."},{"id":"34d850cc-ac0c-4e02-a62f-5f24678223a5","tool":"extend-ai","tool_name":"Extend AI","verdict":"worked","score":null,"score_total":null,"note":"The invoice output includes per-section OCR confidence metadata alongside the extracted fields while remaining machine-readable JSON that can be consumed without structural transformation."},{"id":"dbf84eab-a8e4-49e1-b7a5-ddf3319de6bc","tool":"landing-ai","tool_name":"Landing AI","verdict":"worked","score":null,"score_total":null,"note":"Returns directly consumable JSON for the invoice workflow, with the demo reaching extracted results and the report stating the JSON is immediately usable for integration."}]}