--- title: "PDF Vector" type: "AI Tool" url: "https://aidemos.com/tools/pdf-vector" description: "We fed PDF Vector an 84-page hybrid earnings report and a scanned research PDF; both parsed, but the markdown is flattened in JSON and rough." category: "developer-tools" published: "2026-08-25T13:58:52.806516+00:00" updated: "2026-09-03T12:54:13.959232+00:00" --- # PDF Vector API PDF parser that accepts hybrid and scanned documents, though the output still needs cleanup before it reads like clean markdown. ## TL;DR Verdict **Can ingest both hybrid and scanned PDFs, but the output is not yet clean markdown** **Where it wins:** - You need an API that can ingest a mixed digital/scanned PDF without failing on upload. - You can post-process flattened text if the parser returns markdown inside JSON. - You want a tool that at least completes on scanned PDFs and returns parsed text. **Main limitation:** You need clean, directly usable markdown with preserved section and table structure out of the box. `Hybrid PDF` · `Scanned OCR` · `JSON output` · `Markdown extraction` > **Can ingest both hybrid and scanned PDFs, but the output is not yet clean markdown** > > PDF Vector accepted both the 84-page hybrid earnings report and the scanned research PDF, so the ingestion path is working. The limitation is output quality: the hybrid report came back as markdown content inside JSON with a mostly flattened structure, and the scan test only proves a successful parsed preview rather than a clearly faithful markdown export. It looks useful as a raw document parser, but this research does not show a structure-preserving converter yet. ## Demo Recording [Video: PDF Vector demo recording](https://cdn.futuresmart.ai/public/aidemos/b48a7370a5214e59a494e6303f8585db.mp4?v=1) *Video — Walkthrough showing a search for PDF Vector, then a playground upload of Target-2015-Annual-Report.pdf and a successful parse of the document.* ## Feature-by-Feature Breakdown ### PDF Parsing **Verdict:** Accepted the file, but the output was flattened and JSON-wrapped rather than clean markdown. PDF Vector can ingest and extract content from PDF documents, including a complex 84-page hybrid earnings report and a scanned research PDF. The evidence shows it accepts both file types and returns parsed content, though the output quality and structure vary. **Input:** > **File** **Output:** screenshot > **Image/Png** — screenshot **Input:** > **Application/Pdf** **Output:** Parsed markdown output > **Text/Markdown** — Parsed markdown output **Bottom line:** Good enough to ingest a complex PDF, but not yet good enough to trust as clean markdown without extra processing. ## Is It Right For You? **Use it if** - You need an API that can ingest a mixed digital/scanned PDF without failing on upload. - You can post-process flattened text if the parser returns markdown inside JSON. - You want a tool that at least completes on scanned PDFs and returns parsed text. **Skip it if** - You need clean, directly usable markdown with preserved section and table structure out of the box. - You need a standalone markdown export rather than text embedded in JSON. - You need proof of high-fidelity OCR quality from the scan test alone. ## Classification - **Category:** developer-tools - **Subcategory:** apis - **Type:** text - **Built for:** Other ## Frequently Asked Questions **Q: Does PDF Vector handle a hybrid PDF with native text and scanned pages?** Yes. The 84-page hybrid earnings report uploaded successfully and was parsed, but the returned content was mostly flattened text embedded in JSON rather than clean markdown. **Q: Does PDF Vector work on scanned PDFs?** Yes. The scanned research PDF completed successfully, and the results pane showed a parsed document preview after the run. **Q: Does it return a standalone markdown file?** Not in the hybrid-report test. The report says the markdown content was embedded in a JSON payload, and no standalone markdown export was provided there. **Q: How did the hybrid report compare with the scanned PDF?** Both files were parsed successfully, but the hybrid report exposed the bigger limitation: its output was flattened and JSON-wrapped. The scan test proved ingestion and OCR-backed parsing, but the report does not show that its markdown structure was clean. ## Similar Tools AI tools similar to PDF Vector: - [LlamaParse](https://aidemos.com/tools/llamaparse) — Versatile PDF parsing for Markdown and structured JSON, with strong recovery but some fidelity drift - [Landing AI](https://aidemos.com/tools/landing-ai) — Schema-guided PDF extraction for bank statements and invoices, with strong row capture and a few identifier QA caveats. - [Mistral AI](https://aidemos.com/tools/mistral-ai) — A strong hosted PDF-to-markdown API for mixed and scanned documents, with solid OCR, table recovery, and asset export but uneven structural fidelity. - [Adobe API](https://aidemos.com/tools/adobe-api) — Hosted PDF-to-Markdown extraction for complex documents, with strong tables, charts, and OCR but some structure gaps. - [Upstage AI](https://aidemos.com/tools/upstage-ai) — Solid on native financial tables, but unreliable for multi-column and scanned-document structure in markdown conversion. - [PDF.ai](https://aidemos.com/tools/pdf-ai) — Hosted PDF-to-Markdown parsing for complex financial PDFs, but this research did not produce usable markdown output. - [Extend AI](https://aidemos.com/tools/extend-ai) — Schema-driven extraction for finance PDFs that reconstructs nested JSON well, but still needs review for ordering, IDs, and a few scalar values. - [Reducto](https://aidemos.com/tools/reducto) — Hosted PDF-to-Markdown plus schema extraction with citations; strong on invoices, mixed on tables and bank statements. ## Need a custom AI solution for this use case? If you are looking to build a custom PDF parsing, document extraction, or markdown cleanup workflow for your business or internal workflow, email us at [contact@futuresmart.ai](mailto:contact@futuresmart.ai). ### Found something inaccurate or missing? We try to keep our AI research accurate and useful. If you found outdated information, an issue, or have a suggestion, email us at [collaborate@aidemos.com](mailto:collaborate@aidemos.com).