How to extract text from an image
Upload an image
Select a supported JPG, JPEG, PNG or WEBP image from your device.
Start OCR
Send the image to the real OCR processing service for text recognition.
Review and copy
Check the recognised text, then copy it into another document or application.
What is image-to-text OCR?
Optical character recognition (OCR) is a technology that identifies characters in an image and produces machine-readable text. Image-to-text OCR can be useful when words are visible in a photograph or scan but are not available as selectable text.
What can you use it for?
- Extracting printed text from photographed documents.
- Turning screenshots containing text into copyable text.
- Capturing text from signs, labels or printed notes.
- Reducing manual typing when working with clear printed material.
- Creating text that can be reviewed and reused in another workflow.
Tips for better OCR results
- Use a sharp, well-focused image.
- Keep text reasonably straight and avoid severe perspective distortion.
- Use good lighting and clear contrast between text and background.
- Avoid heavy compression, blur, glare and shadows where possible.
- For important names, numbers, dates and addresses, compare the OCR result with the original image.
OCR accuracy and limitations
OCR does not guarantee perfect transcription. Recognition can be affected by low resolution, blur, unusual fonts, handwriting, curved surfaces, background patterns, poor contrast, glare and complex layouts. The result should be treated as recognised text that may require checking, not as an automatic guarantee of accuracy.
Printed text and handwriting
Clear printed text is generally easier for OCR systems to recognise than handwriting. Support for handwriting depends on the actual OCR engine used by the deployed service, so do not assume handwritten content will be accurately converted.
Privacy and file handling
Docelora should only make claims about storage, deletion and retention that match the deployed processing system. Avoid uploading confidential images unless the service's current published data-handling terms are appropriate for your use.
Troubleshooting
The image is rejected
Check that it is a supported image format and within the service's configured file-size limits.
The extracted text is incomplete
Try a clearer, higher-resolution image with better lighting and less background interference.
The text contains mistakes
OCR results can contain recognition errors. Compare critical information with the original image.
OCR processing fails
A damaged image, unsupported content, resource limit or temporary service error can prevent processing. Try a fresh copy of the image.
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Frequently asked questions
What image formats are supported?
This page is designed for JPG, JPEG, PNG and WEBP input. The production service remains authoritative for accepted files and limits.
Can I extract text from a photo?
Yes, image-to-text OCR is designed to recognise visible text in photographs when the image quality and OCR engine are suitable.
Can I extract text from a screenshot?
Yes. Screenshots containing clear text can be processed as images, subject to the OCR engine's capabilities.
Will the result be 100% accurate?
No OCR system should be assumed to be perfectly accurate. Review important names, numbers and other critical information.
Can it recognise handwriting?
Handwriting is more challenging than clear printed text. Actual support depends on the deployed OCR engine.
Can I copy the extracted text?
When OCR succeeds, the recognised text is presented in a text area so it can be reviewed and copied.
Does image quality affect OCR?
Yes. Focus, resolution, lighting, contrast, blur, glare and background detail can all affect recognition.
Can OCR read text in a different language?
Language support depends on the OCR engine configured for the production service. The page should not claim language coverage that the backend does not provide.
Is the extracted text stored?
Storage and retention depend on the deployed processing system. Docelora should publish only verified data-handling information.