{"observation":{"id":"3bec7ed4-9b8e-44f3-b548-b76f0215b34c","tool":"reducto","tool_name":"Reducto","criterion":"complex-document-handling","criterion_name":"Complex Document Handling","criterion_definition":"Maintains quality across long, multi-section, and mixed-content documents without degradation.","criterion_evidence_type":"transformation","criterion_rank_role":"decisive","criterion_rank_role_reason":"The subject explicitly says complex PDF, so sustained quality across long, mixed-content documents is central to the tool’s ability to do the job. 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numbers.","evidence_state":"verified","source":null,"artifacts":[{"url":"https://d3epheqghktydj.cloudfront.net/research-media-reducto-input3-scannedpaper-output-6dfdac76e722.md","role":"output","alt":null},{"url":"https://cdn.futuresmart.ai/public/aidemos/ff6e3317df8649179c0e0893ed610c87.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://d3epheqghktydj.cloudfront.net/convert-a-complex-pdf-into-clean-markdow-scanned-research-pdf-7b86de49784d.pdf","filename":"Scanned Research PDF.pdf","alt":"Scanned Research Paper","role":"input"}],"modality":"pdf","stresses":["OCR on scanned pages","Multi-column reading order","Figure and chart handling","Table reconstruction from scans","Caption association","Reference extraction","Overall document structure retention"]},"tool_page_slug":"reducto","tool_url":"https://aidemos.com/tools/reducto","permalink":"https://aidemos.com/evidence/3bec7ed4-9b8e-44f3-b548-b76f0215b34c","api_url":"https://ai.aidemos.com/v1/observations/3bec7ed4-9b8e-44f3-b548-b76f0215b34c"},"peers":[{"id":"32fab15d-0885-4287-94a3-67e0d1d00611","tool":"adobe-api","tool_name":"Adobe API","verdict":"struggled","score":null,"score_total":null,"note":"Requires splitting an oversized scanned paper into two PDFs before processing, because the web interface rejects uploads over 1 MB.","artifact_count":6,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/790f9221306f4bd98ec30e9c44908862.mp4?v=1","evidence_url":"https://aidemos.com/evidence/32fab15d-0885-4287-94a3-67e0d1d00611"},{"id":"c8ea9121-f878-4e78-bf13-3ba3b4b6f0a5","tool":"extend-ai","tool_name":"Extend AI","verdict":"worked","score":null,"score_total":null,"note":"Handles the scanned research paper end-to-end, including multi-column prose, tables, charts, and handwritten marginalia, while still producing parsed markdown.","artifact_count":3,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/45e3533a31c246b29e0ec6aaa98438e4.pdf?v=1","evidence_url":"https://aidemos.com/evidence/c8ea9121-f878-4e78-bf13-3ba3b4b6f0a5"},{"id":"9f0d06be-7ecb-4732-933c-ea6d52a1cc16","tool":"llamaparse","tool_name":"LlamaParse","verdict":"worked","score":null,"score_total":null,"note":"Processes a 12-page scanned paper end-to-end and reaches SUCCESS after extracting the page content and figure/table outputs.","artifact_count":3,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/9848fddc3df54deda1f31e5ae8d86f56.mp4?v=1","evidence_url":"https://aidemos.com/evidence/9f0d06be-7ecb-4732-933c-ea6d52a1cc16"},{"id":"d572c22d-d6ae-4a81-b848-53c180d00575","tool":"mistral-ai","tool_name":"Mistral AI","verdict":"worked","score":null,"score_total":null,"note":"The tool processes a scanned multi-column research paper end-to-end and returns OCR text, tables, and embedded chart assets in page-wise markdown output.","artifact_count":4,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/f84ba080d3254487844fc0a3f51f1873.mp4?v=1","evidence_url":"https://aidemos.com/evidence/d572c22d-d6ae-4a81-b848-53c180d00575"},{"id":"b50f09d7-7cee-4268-8441-50b46ddeb000","tool":"nutrient-io","tool_name":"Nutrient.io","verdict":"worked","score":null,"score_total":null,"note":"Processes an image-only scanned research paper end to end and returns a parsed markdown output plus preview, showing it can handle a multi-page scanned document.","artifact_count":4,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/45e3533a31c246b29e0ec6aaa98438e4.pdf?v=1","evidence_url":"https://aidemos.com/evidence/b50f09d7-7cee-4268-8441-50b46ddeb000"},{"id":"ea443095-bb7a-45ec-92ca-6ff0afefe8e4","tool":"tensorlake","tool_name":"Tensorlake","verdict":"mixed","score":null,"score_total":null,"note":"On the scanned research paper, section flow and chart extraction work, but hierarchical tables degrade, so mixed-content handling is uneven rather than consistently robust.","artifact_count":8,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/18b2277b09fa42e3ae7a325fba02b272.png?v=1","evidence_url":"https://aidemos.com/evidence/ea443095-bb7a-45ec-92ca-6ff0afefe8e4"}],"other_criteria":[{"id":"73354714-3c90-4a35-a5c6-c27f03292e80","criterion":"advanced-features","criterion_name":"Advanced Features","rank_role":"context","verdict":"worked","score":null,"score_total":null,"note":"Schema-driven extract.run fully recovers the corrupted Table 4 rows, returning all 12 checked rows exactly, including the 10-inch-cut 1979 MPB row whose parse.run output was badly garbled.","artifact_count":3,"evidence_url":"https://aidemos.com/evidence/73354714-3c90-4a35-a5c6-c27f03292e80"},{"id":"6e5c93ad-2b5d-4c86-89f8-0503d11424d6","criterion":"advanced-features","criterion_name":"Advanced Features","rank_role":"context","verdict":"mixed","score":null,"score_total":null,"note":"The confidence signal flags the faint handwritten margin note and the garbled Table 4 as low confidence, but it misses the hallucinated 'USA' word in the title, which is still rated 0.9354 confident.","artifact_count":4,"evidence_url":"https://aidemos.com/evidence/6e5c93ad-2b5d-4c86-89f8-0503d11424d6"},{"id":"39ecbd6f-1599-4ba1-ae17-16b29b9c07cb","criterion":"markdown-quality","criterion_name":"Markdown Quality","rank_role":"decisive","verdict":"worked","score":null,"score_total":null,"note":"Uses no invented tags or malformed markdown; the only HTML seen is legitimate <br /> inside table cells, so the syntax stays clean even though the document does not surface real heading markup.","artifact_count":2,"evidence_url":"https://aidemos.com/evidence/39ecbd6f-1599-4ba1-ae17-16b29b9c07cb"},{"id":"7840c24e-489b-4551-b576-148911ebe640","criterion":"reading-order-structure","criterion_name":"Reading Order & Structure","rank_role":"decisive","verdict":"struggled","score":null,"score_total":null,"note":"Displaces the byline by a full column: the author line that sits above the two-column split in the source is emitted only after the entire left column, and its footnote markers are rendered inconsistently.","artifact_count":2,"evidence_url":"https://aidemos.com/evidence/7840c24e-489b-4551-b576-148911ebe640"},{"id":"671f1c02-54bd-415d-8592-f65b9923c375","criterion":"table-preservation","criterion_name":"Table Preservation","rank_role":"decisive","verdict":"failed","score":null,"score_total":null,"note":"Catastrophically corrupts the dense 17-column Table 4, injecting non-Latin glyphs into numeric cells and producing run-on strings such as 238-563NT, 2231, and 8998 6 in the 10-inch and 12-inch blocks.","artifact_count":2,"evidence_url":"https://aidemos.com/evidence/671f1c02-54bd-415d-8592-f65b9923c375"},{"id":"fcad1a88-bccf-4eea-8bf5-0d8e5dbc22ee","criterion":"table-preservation","criterion_name":"Table Preservation","rank_role":"decisive","verdict":"mixed","score":null,"score_total":null,"note":"Partially reconstructs Table 1: most of the roughly 90 numeric values are exact, but literal 0 values in the 12-inch column become blanks, one mean cell picks up stray digits (33.0 830000), and a row-label-only section header is broadcast across all six columns in one instance.","artifact_count":3,"evidence_url":"https://aidemos.com/evidence/fcad1a88-bccf-4eea-8bf5-0d8e5dbc22ee"},{"id":"b0876a41-66cd-455c-b38c-421968bf4e16","criterion":"text-ocr-completeness","criterion_name":"Text & OCR Completeness","rank_role":"decisive","verdict":"worked","score":null,"score_total":null,"note":"Converts all 12 scanned pages with no gaps; the page-11-to-page-12 handoff is preserved verbatim, and a separate page-marker output shows pages 1 through 12 present with no missing markers.","artifact_count":4,"evidence_url":"https://aidemos.com/evidence/b0876a41-66cd-455c-b38c-421968bf4e16"},{"id":"ab812bbc-7ab3-4b0c-82e1-e142cb5375fe","criterion":"visual-content-retention","criterion_name":"Visual Content Retention","rank_role":"decisive","verdict":"worked","score":null,"score_total":null,"note":"Segments a shield logo out of a single full-page raster scan and also retains Figure 1 as an image with an accurate synthesized caption; the returned logo crop is a tight 77x81px cut with legible shield text.","artifact_count":5,"evidence_url":"https://aidemos.com/evidence/ab812bbc-7ab3-4b0c-82e1-e142cb5375fe"}],"appears_in":[{"page_type":"ranking","slug":"pdf-to-markdown-apis","title":"Best AI Tools to Convert Complex PDFs into Clean Markdown with an 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outputs."},{"id":"d572c22d-d6ae-4a81-b848-53c180d00575","tool":"mistral-ai","tool_name":"Mistral AI","verdict":"worked","score":null,"score_total":null,"note":"The tool processes a scanned multi-column research paper end-to-end and returns OCR text, tables, and embedded chart assets in page-wise markdown output."},{"id":"b50f09d7-7cee-4268-8441-50b46ddeb000","tool":"nutrient-io","tool_name":"Nutrient.io","verdict":"worked","score":null,"score_total":null,"note":"Processes an image-only scanned research paper end to end and returns a parsed markdown output plus preview, showing it can handle a multi-page scanned document."},{"id":"ea443095-bb7a-45ec-92ca-6ff0afefe8e4","tool":"tensorlake","tool_name":"Tensorlake","verdict":"mixed","score":null,"score_total":null,"note":"On the scanned research paper, section flow and chart extraction work, but hierarchical tables degrade, so mixed-content handling is uneven rather than consistently robust."}]}