2026-06-14
How to Extract Text from Images (OCR): Tips for Screenshot Transcription
A photo of a paper document, a screenshot, text baked into an image — have you ever wished you could just copy that text? OCR (Optical Character Recognition) reads the characters inside an image and converts them into editable text. This guide covers how OCR works, how to shoot and prepare images for better accuracy, and how to do it free, entirely in your browser.
What is OCR?
OCR (Optical Character Recognition) is the technology that analyzes characters stored as an image and converts them into text a computer can handle. Scanned documents, photos of signs, screenshots — anything where the text "became an image" can be turned back into something searchable, copyable, and editable.
Modern browser-based OCR engines can recognize multiple languages at once and return per-word position and confidence. That also enables partial recognition, where you select just a region of the image to read.
When it comes in handy
OCR saves time in all kinds of everyday situations.
- Photograph a paper document or business card and turn it into text
- Copy a passage out of a screenshot to quote or transcribe it
- Pull needed text out of a copy-protected PDF or an image-only document
- Capture a foreign sign or menu, convert it to text, and feed it to a translator
Tips for better recognition
OCR accuracy depends heavily on the quality of the source image. Keeping a few points in mind cuts down misreads significantly.
The two that matter most: the text should be sharp and large, and it should not be skewed. When shooting with a phone, shoot straight on from directly above and avoid casting shadows.
- Shoot under bright, even lighting (avoid shadows and glare)
- Keep the text level — shoot head-on and from directly above
- Focus, and get close enough that the text isn't tiny
- Keep the background simple, with little pattern or noise
OCR with just a browser
The free tool Redactopix runs OCR inside your browser without sending images to a server. It supports Japanese and English, and you can drag to outline a region on the preview for partial recognition of just that area.
The steps:
- Open Redactopix and select the image you want to read
- Choose whether to read the whole image or drag to outline just a region
- Switch the noise-filter strength (off / loose / medium / strict) as needed
- Copy the recognized result, or export it as a .txt file
When accuracy is poor
If the result has many errors, start by reviewing the source image. If the text is small, dark, or skewed, simply reshooting or cropping so the text is larger often fixes it.
For images with heavy background noise, raising the noise-filter strength helps. Conversely, faint or faded text can disappear if the filter is too strong, so the trick is to try different strengths and find the best setting. A quick human proofread afterward makes it reliable.
Try the tool featured in this article — free, right now.
Use RedactopixFrequently asked questions
- Q. Can it recognize handwriting?
- A. OCR engines are optimized for printed type. Neat handwriting may be readable to a degree, but cursive or messy handwriting drops accuracy sharply. Treat handwritten notes as more error-prone than print and proofread the result.
- Q. Does it handle images with mixed Japanese and English?
- A. Redactopix runs with both Japanese (jpn) and English (eng) recognition enabled, so it handles mixed-language images. For complex mixes, splitting into regions and using partial recognition gives steadier accuracy.
- Q. Is my image uploaded?
- A. No. Redactopix runs a WASM-based OCR engine inside your browser, so images are not sent to a server. Even screenshots of sensitive documents are safe to use (only the engine and language data are fetched from a CDN on first use).