Define fields on the fly
Start with full content extraction, then add invoice dates, totals, labels, IDs, or any other field.
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AI OCR for custom fields
Extract the text you need from any image
Upload a receipt, invoice, label, form, or screenshot. Add the fields you care about and ZapOCR fills them with AI.
Drop image here or click to upload
JPG, PNG, WebP (max 10MB). Paste from clipboard also works.
Fields
Add the exact properties you want ZapOCR to extract.
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No templates
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Custom fields
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Editable output
Why use ZapOCR?
Fast extraction for messy, real-world images where a fixed template is too rigid.
Image-aware AI
The Worker sends the resized image and field list to a multimodal model for structured extraction.
Review before use
Results are editable in the browser. Field definitions stay local; extracted values do not persist.
How it works
A small workflow for turning images into useful structured text.
Step 1
Upload an image
Drop, click, or paste a JPG, PNG, or WebP. The browser resizes it before sending.
Step 2
Choose fields
Keep Content or add specific properties like Vendor, Invoice Date, and Total.
Step 3
Review results
ZapOCR fills each field and lets you edit the values immediately.
What can it read?
Useful for quick extraction tasks across operations, finance, support, and inventory.
Receipts
Vendors, dates, totals, taxes.
Invoices
Invoice IDs, due dates, line text.
Labels
SKU codes, batch numbers, serials.
Forms
Names, addresses, checked values.
Screenshots
Tickets, alerts, UI text, tables.
IDs
Reference numbers and visible text.
Current limitations
OCR quality depends on the source image and the visible information in it.
Low quality images
Blur, glare, tiny text, or cropped documents may produce partial results.
No guessing
The backend prompt tells the model to leave missing fields empty instead of inventing values.
Review required
Use the editable results as a draft and verify important business data before relying on it.
Try ZapOCR with your own image
Define a field once, keep it locally in your browser, and reuse it for the next extraction.
Start extracting