Build an Image to Text Converter with Claude Code

Build an Image to Text Converter web app. People search for "image to text converter" about 268,000 times a month, plus related searches like "ocr online free", "extract text from image", "photo to text converter". The goal is a tool that ranks for those searches and makes money.

What it should do:
Build an image to text converter web app. Create a homepage with a large upload zone saying 'Drop your image to extract text'. When users upload an image, show a preview with detected text areas highlighted. Add language selection dropdown (English, Spanish, French, etc.) and text format options (Plain Text, Word, PDF). Display the extracted text in a large text area with copy and download buttons. Include accuracy confidence score and character count. Add sample images to test the OCR functionality. Use a professional design with blue and gray colors. Focus on the upload and text extraction flow first.

How to build it:
1. Read this folder first. If it is empty, set up Next.js (App Router, TypeScript, Tailwind). Write a short PLAN.md with the pages, components, any library or API you need, and what you are leaving for later. Then build.
2. Put the tool itself on the homepage so a visitor can use it within seconds, with no sign-up. Do the processing in the browser where you can, so it is fast and cheap to run. Look at how Adobe Acrobat, Google Drive OCR, OnlineOCR do it and make ours simpler and faster.
3. Make it rank. Use "image to text converter" in the title tag, H1 and meta description. Under the tool, add a short how-to and an FAQ with FAQPage schema, and add a sitemap and robots.txt. Scaffold these programmatic pages from one template and a data file: /image-to-text-for-[document-type], /ocr-[language]-text-extraction, /convert-[image-format]-to-text.
4. Monetisation: Freemium: 10 free extractions/day, $7/mo unlimited + batch processing. Add a pricing page and the free usage limit, and leave Stripe checkout as a clearly marked stub with the environment variables it needs.
5. Run it locally and test the main flow end to end, including edge cases like empty input and very large files. Fix what breaks, then finish with a summary of what works, what is stubbed and how to deploy it to Vercel.

Paste it into Claude Code in an empty folder. It plans first, so read PLAN.md and steer before it starts building.