PDF Text & Markdown Extractor (no OCR, pay per page)
Pricing
from $0.50 / 1,000 page extracteds
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
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
7 days ago
Last modified
Categories
Security
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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.