Developer tools
Rapid OCR API
Unlock the power of text recognition with RapidOCRAPI! Seamlessly convert images to text using our fast and reliable API powered by FastAPI. Ideal for developers looking for speed and simplification.
Deploy Rapid OCR API on Open Source Cloud
- Web console: press Launch above, sign in, name the instance and create it.
- Command line: with your personal access token in
OSC_ACCESS_TOKEN, runnpx -y @osaas/cli@latest create rapidai-rapidocrapi myinstance. Add-o Key=Valuefor any required settings. - Your AI agent: connect it to the OSC MCP server at
https://mcp.osaas.io/mcpand ask: βCreate an instance of Rapid OCR API on Open Source Cloud and give me its URL.β How to connect
What it costs
One running Rapid OCR API instance uses 10 tokens a day. The free Basic plan's 100 one-time tokens run it for about 10 days. On Personal (40 tokens a day) one instance runs continuously.
See plans and token allowancesOpen source, no lock-in
Rapid OCR API is built from the open source project at github.com/RapidAI/RapidOCRAPI. You can run the same project on your own infrastructure or another cloud whenever you want, and take your data with you.
Questions about Rapid OCR API
How much does Rapid OCR API cost on Open Source Cloud?
One running Rapid OCR API instance uses 10 tokens a day. The free Basic plan's 100 one-time tokens run it for about 10 days. On Personal (40 tokens a day) one instance runs continuously. Prices and allowances are on https://www.osaas.io/pricing.
How do I deploy Rapid OCR API?
Three ways: press Launch to create it in the web console; run npx -y @osaas/cli@latest create rapidai-rapidocrapi myinstance with OSC_ACCESS_TOKEN set (add -o Key=Value for any required settings); or connect your AI agent to the OSC MCP server at https://mcp.osaas.io/mcp and ask it to "Create an instance of Rapid OCR API on Open Source Cloud and give me its URL."
Can I move Rapid OCR API off Open Source Cloud later?
Yes. Rapid OCR API is open source, built from https://github.com/RapidAI/RapidOCRAPI, so you can run the same project on your own infrastructure or another cloud and take your data with you.