Webflow Integration
Ocrspace is an OCR API that extracts text from images and PDFs in JSON format. Instantly turn visual content into searchable, usable data.
OCR.space provides a free, high-accuracy OCR API that converts images and PDFs into structured JSON text output. Integrating OCR.space with your Webflow site enables instant text extraction from user-uploaded content, making it perfect for applications ranging from receipt scanning to business card digitisation.
The Webflow and OCR.space integration opens up powerful automation possibilities for your website. File upload fields in Webflow forms can be connected to OCR.space, so when a user submits a photo of a receipt, business card, or document, the text is automatically extracted and can populate CMS collections, trigger email notifications, or feed into your CRM. The JSON output format makes it straightforward to parse and map extracted data to Webflow fields.
OCR.space stands out for its generous free tier, supporting up to 25,000 requests per month, making it accessible for small to medium-sized Webflow projects. It supports multiple languages, automatic image pre-processing, and overlay text extraction from complex layouts. Combined with Webflow's design flexibility, you can build polished document processing interfaces that feel native to your brand.
null FAQs
Common questions about using null with Webflow.
Connect Webflow forms to OCR.space via automation platforms like Zapier or Make, or through a custom middleware script. When a file is uploaded, it is sent to the OCR.space API, and the JSON response containing extracted text is parsed and used to populate your Webflow CMS or trigger workflows.
OCR.space offers a generous free tier with 25,000 API requests per month, which is sufficient for most small to medium Webflow sites. Paid plans are available for higher volumes or advanced features like faster processing and priority support.
OCR.space supports over 20 languages including English, Spanish, French, German, Chinese, Japanese, Arabic, and more. You can specify the language for better accuracy, or use the auto-detect feature to handle multi-language documents.
OCR.space is primarily optimised for printed text and achieves very high accuracy on clean documents. It can attempt handwriting recognition, but results vary significantly depending on handwriting clarity. For best results, use it with typed or printed documents.
OCR.space supports multi-page PDF processing. You can either upload the entire PDF for complete text extraction across all pages, or split the PDF into individual pages using additional tools before sending to the API for page-level processing.
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