Extract Text from Images via OCR

🧩 Problem

Screenshots, scans, and photos often need to be parsed for text in automation workflows. 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

Images don't have an embedded text layer; downstream tools need plain 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: OCR Extract (API Endpoint)

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

Endpoint

POST https://api.postthatgetthis.com/ocr/extract

Example Input

{ "url": "https://example.com/image.png", "lang": "eng" }

Example Output

Extracted text from the image

📦 What This Solves

• Accepts image URLs or base64 payloads
• Supports popular formats: JPEG, PNG, WEBP, GIF, TIFF
• Returns extracted text plus file metadata

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

• OCR Scanned PDFs
• Extract PDF Text

👉 Try it now

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