OCR Scanned PDFs and Images

🧩 Problem

Scanned PDFs and image-only exports have no text layer, so plain extraction returns blanks. 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

Copiers and some generators output images instead of embedded 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, n8n, Airtable, Retool.

Endpoint

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

Example Input

{ "url": "https://example.com/scan.pdf", "strategy": "ocr" }

Example Output

OCR text for all pages

📦 What This Solves

• Forces OCR on every page
• Good for scanned receipts/contracts
• Returns per-page text and page_count

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

• Extract PDF Text
• Split PDFs into Pages

👉 Try it now

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