Extract PDF Text for AI Summaries

🧩 Problem

LLMs and search steps need raw text, but PDFs arrive as binary attachments. When malformed or unstructured data hits routers, filters, or API connectors, entire automations halt or silently drop records. Teams end up retrying runs, hand-editing payloads, and explaining delays to customers.

💡 Why This Happens

PDFs are optimized for rendering, not structured text. Most automation platforms assume well-formed payloads and do minimal validation. AI models, third-party APIs, and changing vendor schemas drift over time, mixing encodings, formats, and unexpected fields that downstream steps cannot tolerate.

🚀 The Fix: PDF Extract Text (API Endpoint)

Use this endpoint to solve the problem reliably inside Zapier, Make.com, Airtable, n8n, Retool.

Endpoint

POST https://api.postthatgetthis.com/pdf/extract/text

Example Input

PDF file upload

Example Output

Plaintext body of the PDF

📦 What This Solves

• Extracts readable text
• Handles multi-page PDFs
• Feeds AI prompt steps directly

Not seeing your exact problem? Tell us what’s breaking in your workflow and we’ll help fix it: Submit A Problem.

🔗 Related Use Cases

• Merge PDFs for Clients
• Split PDFs into Pages

👉 Try it now

Use this endpoint directly in your automation tool. POST → get cleaned, structured data. Every time.