{"observation":{"id":"277d3d32-8789-468a-b996-53077b678a24","tool":"reducto","tool_name":"Reducto","criterion":"markdown-quality","criterion_name":"Markdown Quality","criterion_definition":"Produces clean, well-structured, usable markdown rather than a flat text dump.","criterion_evidence_type":"transformation","criterion_rank_role":"decisive","criterion_rank_role_reason":"The ranking is specifically about producing clean Markdown, so the quality and usability of the Markdown output directly measures success. (3 of 3 judges)","scenario":"hybrid-earnings-report","scenario_name":"Hybrid Earnings Report","group_tag":"hybrid-earnings-report","scenario_description":"A long, real-world hybrid annual report used to benchmark end-to-end PDF-to-markdown conversion. It combines native text, financial tables, charts/graphics, and scanned signature/stamp regions, stressing preservation of document structure, reading order, and embedded visual content across a multi-section report.","modality":"pdf","input_text":null,"input_artifact_refs":[{"alt":null,"url":"https://cdn.futuresmart.ai/public/aidemos/f63a44b441704753b65d1b89dc9b4bbb.pdf?v=1","role":"input","filename":"Target-2015-Annual-Report.pdf"}],"stresses":["Native digital text extraction","Complex financial table preservation","Chart and graphic retention","Image-based signatures and stamps","Reading order across a long multi-section report","Markdown quality and consistency"],"verdict":"struggled","score":null,"score_total":null,"note":"Produces usable but not clean markdown: the output contains 12 <signature> tags, 2 <empty> placeholders, and literal HTML tags such as <b>, <i>, and <u> instead of pure CommonMark.","evidence_state":"verified","source":null,"artifacts":[{"url":"https://cdn.futuresmart.ai/public/aidemos/864af538d166429884f157f9b2c304b5.png?v=1","role":"input","alt":null},{"url":"https://cdn.futuresmart.ai/public/aidemos/669b3b3e55a9463596b54bc0d12ae59c.png?v=1","role":"output","alt":null},{"url":"https://cdn.futuresmart.ai/public/aidemos/2620dd4e62df4492bd6a3d37d45fd6bc.png?v=1","role":"output","alt":null}],"run_id":"6e3160de-fe46-4b45-b071-72560b5c5d0e","study_title":"Convert a Complex PDF into Clean Markdown with an API","study_kind":"generation","research_task":"86b9h7t37","tested_at":null,"completeness":"input-and-output","input":{"state":"files","text":null,"files":[{"url":"https://cdn.futuresmart.ai/public/aidemos/f63a44b441704753b65d1b89dc9b4bbb.pdf?v=1","filename":"Target-2015-Annual-Report.pdf","alt":"Hybrid Earnings Report","role":"input"}],"modality":"pdf","stresses":["Native digital text extraction","Complex financial table preservation","Chart and graphic retention","Image-based signatures and stamps","Reading order across a long multi-section report","Markdown quality and consistency"]},"tool_page_slug":"reducto","tool_url":"https://aidemos.com/tools/reducto","permalink":"https://aidemos.com/evidence/277d3d32-8789-468a-b996-53077b678a24","api_url":"https://ai.aidemos.com/v1/observations/277d3d32-8789-468a-b996-53077b678a24"},"peers":[{"id":"ec898578-9641-4f6a-b228-bebde59abc51","tool":"mistral-ai","tool_name":"Mistral AI","verdict":"worked","score":null,"score_total":null,"note":"The export is usable markdown rather than a flat text dump: it includes an overall markdown file plus page-wise markdown files delivered in a downloadable ZIP.","artifact_count":2,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/07829e6dcb414445886e618cd047efb2.pdf?v=1","evidence_url":"https://aidemos.com/evidence/ec898578-9641-4f6a-b228-bebde59abc51"},{"id":"00bbf29e-2e58-4198-84f9-e3f01f7059d5","tool":"pdf-ai","tool_name":"PDF.ai","verdict":"failed","score":null,"score_total":null,"note":"Markdown export failed on an 84-page hybrid earnings report; the report records \"Output MD: Output failed.\"","artifact_count":2,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/07829e6dcb414445886e618cd047efb2.pdf?v=1","evidence_url":"https://aidemos.com/evidence/00bbf29e-2e58-4198-84f9-e3f01f7059d5"},{"id":"7f188b1e-6a05-4386-b48a-3d23816ab700","tool":"pdfvector","tool_name":"PDFVector","verdict":"mixed","score":null,"score_total":null,"note":"Returned markdown-like content inside JSON, but the document structure was largely flattened rather than preserved as faithful markdown.","artifact_count":4,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/07829e6dcb414445886e618cd047efb2.pdf?v=1","evidence_url":"https://aidemos.com/evidence/7f188b1e-6a05-4386-b48a-3d23816ab700"},{"id":"449b0ccc-3d5d-467a-b98b-79653db91504","tool":"tensorlake","tool_name":"Tensorlake","verdict":"worked","score":null,"score_total":null,"note":"Renders the extraction as structured, copyable markdown in the Document Markdown view rather than a flat text dump.","artifact_count":3,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/b5fe76bd1e0a4c67a7f552a313dd5116.png?v=1","evidence_url":"https://aidemos.com/evidence/449b0ccc-3d5d-467a-b98b-79653db91504"}],"other_criteria":[{"id":"55895767-e0f8-4be6-9d07-f0998a55a02d","criterion":"advanced-features","criterion_name":"Advanced Features","rank_role":"context","verdict":"failed","score":null,"score_total":null,"note":"On the bar-chart schema, extract.run gets only 3 of 5 Sales values right: 2011 and 2012 are silently pulled from a different table ($69.9B and $73.3B), with no confidence or warning signal.","artifact_count":3,"evidence_url":"https://aidemos.com/evidence/55895767-e0f8-4be6-9d07-f0998a55a02d"},{"id":"7fb155c1-7886-4bd4-9e2d-1fec0f47b677","criterion":"advanced-features","criterion_name":"Advanced Features","rank_role":"context","verdict":"mixed","score":null,"score_total":null,"note":"The parse pipeline’s confidence field catches all 10 footer-number corruptions and also produces one false alarm on a correct securities table, so the signal is real but not perfectly calibrated.","artifact_count":6,"evidence_url":"https://aidemos.com/evidence/7fb155c1-7886-4bd4-9e2d-1fec0f47b677"},{"id":"5b164bff-8ffe-46e2-b493-883b4ed9fed4","criterion":"advanced-features","criterion_name":"Advanced Features","rank_role":"context","verdict":"worked","score":null,"score_total":null,"note":"The separate schema-driven extract.run endpoint cleanly recovers both a financial table and a donut chart: all requested table rows and all five donut percentages come back exactly.","artifact_count":4,"evidence_url":"https://aidemos.com/evidence/5b164bff-8ffe-46e2-b493-883b4ed9fed4"},{"id":"1961fa7a-2d5a-4ece-83fe-23b4c0399568","criterion":"complex-document-handling","criterion_name":"Complex Document Handling","rank_role":"decisive","verdict":"mixed","score":null,"score_total":null,"note":"Processes the full 84-page mixed-content report in 25.5 seconds with no truncation and keeps the hardest nested table’s 27 values exact, but 10 footer numbers are corrupted in the back two-thirds of the file.","artifact_count":9,"evidence_url":"https://aidemos.com/evidence/1961fa7a-2d5a-4ece-83fe-23b4c0399568"},{"id":"88babab8-a43b-4c7e-9f67-8dd32e3984bd","criterion":"reading-order-structure","criterion_name":"Reading Order & Structure","rank_role":"decisive","verdict":"worked","score":null,"score_total":null,"note":"Linearizes a two-column page correctly, reading the full left column, including all four bullets, before the right-column continuation appears, with no interleaving or sequence inversion.","artifact_count":2,"evidence_url":"https://aidemos.com/evidence/88babab8-a43b-4c7e-9f67-8dd32e3984bd"},{"id":"77c69713-eb97-47e0-8b45-b4d8c8902bc2","criterion":"reading-order-structure","criterion_name":"Reading Order & Structure","rank_role":"decisive","verdict":"struggled","score":null,"score_total":null,"note":"Drops heading structure on most of the filing: the FORM 10-K opening area receives no # or ## markup, and the report says 80 of 84 pages stay as plain paragraphs rather than navigable section headings.","artifact_count":4,"evidence_url":"https://aidemos.com/evidence/77c69713-eb97-47e0-8b45-b4d8c8902bc2"},{"id":"95351b6f-5f39-4442-81c6-7e668e79d68f","criterion":"table-preservation","criterion_name":"Table Preservation","rank_role":"decisive","verdict":"worked","score":null,"score_total":null,"note":"Preserves a genuinely row-paired 52-row state table as a clean grid, keeping the 1,792 stores total and 239,539 retail-square-footage total intact.","artifact_count":4,"evidence_url":"https://aidemos.com/evidence/95351b6f-5f39-4442-81c6-7e668e79d68f"},{"id":"0521f27e-23a0-457d-a653-8d443d84ee9b","criterion":"table-preservation","criterion_name":"Table Preservation","rank_role":"decisive","verdict":"failed","score":null,"score_total":null,"note":"Mis-merges two independent side-by-side lists into one table, forcing unrelated cost-of-sales and SG&A bullets into fake row pairs where no row correspondence exists in the source.","artifact_count":2,"evidence_url":"https://aidemos.com/evidence/0521f27e-23a0-457d-a653-8d443d84ee9b"},{"id":"4171c2f8-81c8-472e-abf5-a809333282b6","criterion":"text-ocr-completeness","criterion_name":"Text & OCR Completeness","rank_role":"decisive","verdict":"worked","score":null,"score_total":null,"note":"Converts the full 84-page native-digital annual report with no skipped pages; the output contains all 84 page-marker pairs, and checked high-risk numbers survive exactly, including the $51,550,988,273 market-value figure and 599,982,121 shares outstanding.","artifact_count":7,"evidence_url":"https://aidemos.com/evidence/4171c2f8-81c8-472e-abf5-a809333282b6"},{"id":"d44d1388-5a3e-4021-94ac-d7281d773533","criterion":"visual-content-retention","criterion_name":"Visual Content Retention","rank_role":"decisive","verdict":"worked","score":null,"score_total":null,"note":"Retains visual content as real image outputs when requested: the portrait, donut chart, and bar chart are all returned as preserved figure/image crops rather than being dropped.","artifact_count":10,"evidence_url":"https://aidemos.com/evidence/d44d1388-5a3e-4021-94ac-d7281d773533"},{"id":"d6a44781-5816-4bba-9774-fad1fe0cbd76","criterion":"visual-content-retention","criterion_name":"Visual Content Retention","rank_role":"decisive","verdict":"failed","score":null,"score_total":null,"note":"Does not retain handwritten signature graphics as images: a signature crop returns only the <signature> placeholder plus the printed name/title, omitting the cursive mark itself.","artifact_count":2,"evidence_url":"https://aidemos.com/evidence/d6a44781-5816-4bba-9774-fad1fe0cbd76"}],"appears_in":[{"page_type":"ranking","slug":"pdf-to-markdown-apis","title":"Best AI Tools to Convert Complex PDFs into Clean Markdown with an API","url":"https://aidemos.com/best/pdf-to-markdown-apis","binding":"run"}],"same_scenario":[{"id":"ec898578-9641-4f6a-b228-bebde59abc51","tool":"mistral-ai","tool_name":"Mistral AI","verdict":"worked","score":null,"score_total":null,"note":"The export is usable markdown rather than a flat text dump: it includes an overall markdown file plus page-wise markdown files delivered in a downloadable ZIP."},{"id":"00bbf29e-2e58-4198-84f9-e3f01f7059d5","tool":"pdf-ai","tool_name":"PDF.ai","verdict":"failed","score":null,"score_total":null,"note":"Markdown export failed on an 84-page hybrid earnings report; the report records \"Output MD: Output failed.\""},{"id":"7f188b1e-6a05-4386-b48a-3d23816ab700","tool":"pdfvector","tool_name":"PDFVector","verdict":"mixed","score":null,"score_total":null,"note":"Returned markdown-like content inside JSON, but the document structure was largely flattened rather than preserved as faithful markdown."},{"id":"449b0ccc-3d5d-467a-b98b-79653db91504","tool":"tensorlake","tool_name":"Tensorlake","verdict":"worked","score":null,"score_total":null,"note":"Renders the extraction as structured, copyable markdown in the Document Markdown view rather than a flat text dump."}]}