Document scan
Start with automatic layout and clean-document processing. Inspect columns, page edges, and faint print.
Convert images to text with free online OCR
Image OCR converts visible words in JPG, PNG, WebP, BMP, or TIFF files into editable text. Use it for mixed image sources, then verify names, totals, dates, and identifiers against the image.
Text found in your image
N/Alocal review signal
0 pages0 words0 characters0 ms
Mixed images can combine photos, labels, and document regions. Check names, amounts, dates, identifiers, and the order of separate text areas.
Separate source type, recognition, and review
A mixed-image workflow begins by identifying what the pixels represent. A flat scan, camera photo, and isolated label can enter the same OCR engine, but they need different preparation and review.
- Classify the source before choosing cleanup and layout settings.
- Use recognized regions to find labels that may be read out of sequence.
- Compare every decision-driving field with the original image.
Use the mixed-image route when the source varies
Use this route for mixed image formats when you need editable text plus word positions and confidence data. The file extension chooses a decoder, but the visible page determines the cleanup, layout, and review work. For words photographed on a sign, product label, menu, notice, or package, use the Image Translator OCR route.
Camera photo
Check focus, perspective, light, and character size before asking software to recognize the page.
Label or graphic
Use sparse-text layout when words sit in separate regions instead of one continuous reading block.
Prepare the pixels that carry the words
The most useful correction is the one that preserves a missing distinction between characters. Change one variable, then compare the same difficult line.
Keep the original pixels
Upload the source image rather than a messaging-app copy. Resizing and repeated compression can merge the small gaps that distinguish similar characters.
Crop the document
Remove desk edges, fingers, and unrelated surroundings while leaving a narrow margin around every line of text.
Choose the page structure
Automatic mode suits ordinary pages. Use one text block for a continuous paragraph and sparse labels for scattered text.
Review fields that trigger action
Compare names, dates, totals, identifiers, and instructions with the image even when the overall confidence is high.
Build the review around the image
Do not treat a readable paragraph as proof that every field is correct. Mixed-format images often place ordinary prose beside small labels, totals, identifiers, or captions that need different checks.
- ReadConfirm that the main text is complete and in a sensible order.
- LocateUse positions when separate labels or columns need to stay connected.
- VerifyCompare decision-driving values directly with the image.
What belongs in the Image to Text workbench
Use How to Improve OCR Accuracy Before You Upload when the source needs capture or cleanup work before another run.
For source-quality decisions that apply across formats, use the OCR accuracy guide collection.
Best for
Mixed image formats, document photos, scans, labels, and graphics containing readable text.
Not designed for
Perfect visual-layout reconstruction, validated invoice fields, or guaranteed handwriting transcription.
Review first
Names, totals, dates, identifiers, and text whose meaning changes when one character is wrong.
Choose an image OCR export for review or reuse
TXT suits a quick reading copy. Markdown keeps light structure, while JSON and CSV retain diagnostics that help trace uncertain words back to their positions in a mixed-format image.
- Need a clean reading copy?
- Choose TXT.
- Need lightweight headings or sections?
- Choose Markdown.
- Need page and review diagnostics?
- Choose JSON.
- Need word positions in rows?
- Choose CSV.
Questions before processing a mixed image
Can OCR read handwriting in an image?
It can create a first draft from neat block letters, but personal letterforms and connected strokes need close review. See what handwriting OCR can and cannot do.
Which download format should I choose?
Use TXT for reading, Markdown for lightweight structure, JSON for page diagnostics, and CSV for local word positions. Compare OCR output formats.