Hey Bubblers! ![]()
If you are building AI apps, RAG systems, or document analyzers, you know the pain of dealing with PDFs. Sending whole PDF files to OpenAI or Anthropic is slow, prone to errors, and burns through your API tokens rapidly.
I built PDF Textractor to solve this exact problem. It converts digital PDFs into raw, clean text server-side before you ever touch an AI API. And today, Iām launching two versions! ![]()
PDF Textractor (FREE) The leanest, fastest way to get text out of a PDF.
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Pass a PDF URL ā Get a single string of clean text.
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100% Server-side and completely free forever.
PDF Textractor PRO (For Advanced Workflows) Designed to save you money on AI tokens and give you deep document insights.
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Specific Page Extraction: Only need the summary on page 3 of a 50-page report? Just input ā3ā. Need specific ranges? Input ā1-3, 7ā. You extract (and pay AI for) only what you need! -
Hidden Metadata: Instantly extract the Page Count, Title, Author, and Creation Date to auto-populate your database. -
Bulletproof: Advanced error handling so your app never crashes on a bad file.
Use Cases:
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Feeding clean, targeted text to ChatGPT / Claude prompts. -
Creating searchable text indexes in your database. -
Setting up conditional workflows (e.g., āIf PDF is > 10 pages, trigger a background taskā).
Links:
Check them out on the marketplace and let me know what you think! Iām already planning Phase 2 (Client-side extraction & OCR), so feedback is super welcome. ![]()
Happy building! ![]()