{"observation":{"id":"ab812bbc-7ab3-4b0c-82e1-e142cb5375fe","tool":"reducto","tool_name":"Reducto","criterion":"visual-content-retention","criterion_name":"Visual Content Retention","criterion_definition":"Retains charts, figures, diagrams, and images in the output and places them in the correct reading position.","criterion_evidence_type":"transformation","criterion_rank_role":"decisive","criterion_rank_role_reason":"For complex PDFs, figures, charts, and images are part of the document content, so preserving them in the right place is part of the core job. (3 of 3 judges)","scenario":"scanned-research-paper","scenario_name":"Scanned Research Paper","group_tag":"scanned-research-paper","scenario_description":"An image-only scanned research paper used to stress OCR and layout recovery in a multi-column academic document with figures, charts, tables, captions, and references.","modality":"pdf","input_text":null,"input_artifact_refs":[{"alt":null,"url":"https://d3epheqghktydj.cloudfront.net/convert-a-complex-pdf-into-clean-markdow-scanned-research-pdf-7b86de49784d.pdf","role":"input","filename":"Scanned Research PDF.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"],"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.","evidence_state":"verified","source":null,"artifacts":[{"url":"https://cdn.futuresmart.ai/public/aidemos/c644ea8b706847c99c670095d6eacb60.png?v=1","role":"context","alt":null},{"url":"https://cdn.futuresmart.ai/public/aidemos/d1a1cbbdbc114acaab82283eba863c41.png?v=1","role":"output","alt":null},{"url":"https://cdn.futuresmart.ai/public/aidemos/9a6af7a4782a413fbe12fcefc611a4a5.png?v=1","role":"output","alt":null},{"url":"https://cdn.futuresmart.ai/public/aidemos/e22f87edb4a74423a340fceb91a893f3.png?v=1","role":"input","alt":null},{"url":"https://cdn.futuresmart.ai/public/aidemos/9b1a05df404a461abb75d3d5e6760e50.png?v=1","role":"input","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/ab812bbc-7ab3-4b0c-82e1-e142cb5375fe","api_url":"https://ai.aidemos.com/v1/observations/ab812bbc-7ab3-4b0c-82e1-e142cb5375fe"},"peers":[{"id":"aaf02083-a041-4bdf-b6af-90778cdde03b","tool":"adobe-api","tool_name":"Adobe API","verdict":"worked","score":null,"score_total":null,"note":"Keeps chart artwork embedded in the extracted page, placing the residual basal-area figure in situ beneath the extracted table text.","artifact_count":1,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/a31a06257031453a906fcd8c3e2bbb51.png?v=1","evidence_url":"https://aidemos.com/evidence/aaf02083-a041-4bdf-b6af-90778cdde03b"},{"id":"1074ca2a-2a45-4de6-a0fb-e861d4262e74","tool":"extend-ai","tool_name":"Extend AI","verdict":"mixed","score":null,"score_total":null,"note":"Extracts chart values into a captioned figure block, but the report says the mortality chart's trend visualization is not fully retained.","artifact_count":3,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/de1454c783be40d6ae9c9be1b56215f5.png?v=1","evidence_url":"https://aidemos.com/evidence/1074ca2a-2a45-4de6-a0fb-e861d4262e74"},{"id":"137693ad-48f6-4821-a813-5520e70b5585","tool":"landing-ai","tool_name":"Landing 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AI","verdict":"worked","score":null,"score_total":null,"note":"Charts are exposed through both page-wise markdown files and the extracted visual assets, keeping the visual content linked to its original document location.","artifact_count":3,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/45e3533a31c246b29e0ec6aaa98438e4.pdf?v=1","evidence_url":"https://aidemos.com/evidence/0f3a42b1-0d18-4374-bbeb-cd6776d7b79e"},{"id":"474d7192-6964-4d73-9726-1ca2efcb6edc","tool":"nutrient-io","tool_name":"Nutrient.io","verdict":"struggled","score":null,"score_total":null,"note":"Extracts the Figure 3 chart's values, but the chart structure and layout are not preserved, so the visualization is flattened into text-like output.","artifact_count":2,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/1aca5ae754c14b309d12845ef3f598c5.png?v=1","evidence_url":"https://aidemos.com/evidence/474d7192-6964-4d73-9726-1ca2efcb6edc"}],"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":"3bec7ed4-9b8e-44f3-b548-b76f0215b34c","criterion":"complex-document-handling","criterion_name":"Complex Document Handling","rank_role":"decisive","verdict":"struggled","score":null,"score_total":null,"note":"Handles the 12-page scan in 10.6 seconds with no truncation, but the densest 17-column table has unreadable stretches with injected glyphs and run-on numbers.","artifact_count":2,"evidence_url":"https://aidemos.com/evidence/3bec7ed4-9b8e-44f3-b548-b76f0215b34c"},{"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"}],"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":"aaf02083-a041-4bdf-b6af-90778cdde03b","tool":"adobe-api","tool_name":"Adobe API","verdict":"worked","score":null,"score_total":null,"note":"Keeps chart artwork embedded in the extracted page, placing the residual basal-area figure in situ beneath the extracted table text."},{"id":"1074ca2a-2a45-4de6-a0fb-e861d4262e74","tool":"extend-ai","tool_name":"Extend AI","verdict":"mixed","score":null,"score_total":null,"note":"Extracts chart values into a captioned figure block, but the report says the mortality chart's trend visualization is not fully retained."},{"id":"137693ad-48f6-4821-a813-5520e70b5585","tool":"landing-ai","tool_name":"Landing AI","verdict":"failed","score":null,"score_total":null,"note":"Converts a scanned bar chart into a textual transcription of legend items and approximate values instead of retaining the chart visually in the output."},{"id":"aef48456-2bfd-45ec-8fb3-91f61fa0605a","tool":"llamaparse","tool_name":"LlamaParse","verdict":"mixed","score":null,"score_total":null,"note":"Converts a bar chart into a structured table, preserving the legend/value mapping but not keeping the chart as a visual chart."},{"id":"0f3a42b1-0d18-4374-bbeb-cd6776d7b79e","tool":"mistral-ai","tool_name":"Mistral AI","verdict":"worked","score":null,"score_total":null,"note":"Charts are exposed through both page-wise markdown files and the extracted visual assets, keeping the visual content linked to its original document location."},{"id":"474d7192-6964-4d73-9726-1ca2efcb6edc","tool":"nutrient-io","tool_name":"Nutrient.io","verdict":"struggled","score":null,"score_total":null,"note":"Extracts the Figure 3 chart's values, but the chart structure and layout are not preserved, so the visualization is flattened into text-like output."}]}