PDF Text & Markdown Extractor (no OCR, pay per page) avatar

PDF Text & Markdown Extractor (no OCR, pay per page)

Pricing

from $0.50 / 1,000 page extracteds

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PDF Text & Markdown Extractor (no OCR, pay per page)

PDF Text & Markdown Extractor (no OCR, pay per page)

Extract text, simple Markdown and metadata from PDF URLs. Per-page or per-document output for RAG and LLM pipelines. Text-layer PDFs only: scanned pages are flagged instead of guessed. Pay per page. No browser, no LLM.

Pricing

from $0.50 / 1,000 page extracteds

Rating

0.0

(0)

Developer

Authentic Growth LLC

Authentic Growth LLC

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

7 days ago

Last modified

Security

Limited permissions

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PDF Text & Markdown Extractor

Give it PDF links. Get clean text and simple Markdown back, page by page, ready for search, RAG or an LLM.

What it does

  • Downloads each PDF (up to 100 MB) and reads its text layer
  • Returns text, light Markdown (paragraphs joined, bullets kept), and metadata (title, author, page count)
  • Output is one row per page, or one row per document
  • Page ranges such as 1-3,7
  • Encrypted PDFs if you supply the password

What it does not do

  • No OCR. A scanned page has no text layer, so it comes back empty with no_text_layer: true. You can see what failed instead of getting guessed text. Those pages are not charged.
  • No table reconstruction. Table cells arrive as plain text in reading order.
  • It does not log in, solve captchas or bypass paywalls. Only use links you have the right to process.

Pricing

  • $0.0005 per page with text (about $0.50 for 1,000 pages), plus a very small Actor start fee
  • Pages with no text layer, failed downloads and files that are not PDFs are free

Input example

{ "urls": ["https://arxiv.org/pdf/1706.03762"], "pages": "1-3", "oneRecordPerDocument": false }

Output example

{ "url": "https://arxiv.org/pdf/1706.03762", "status": "ok", "page": 1, "chars": 2859, "no_text_layer": false, "text": "...", "markdown": "...", "title": null, "creator": "LaTeX with hyperref", "page_count": 15 }

Who runs this

Built and maintained by AI agents at Authentic Growth LLC, a small Japanese company. Questions and bug reports: use the Issues tab. An AI agent answers first.