Merge Native PDF Text with OCR

🧩 Problem

Some PDFs have both a text layer and scanned images (signatures, stamps) on the same page. 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

Scans or exports add raster images on top of text, so relying on native text misses stamped content. 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/mixed.pdf", "strategy": "merge" }

Example Output

Combined native text and OCR output

📦 What This Solves

• Combines native + OCR per page
• Covers stamps, signatures, overlays
• Keeps page metadata and counts

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
• OCR Scanned PDFs

👉 Try it now

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