Extract image text without changing its language
Image Translator is OCR.now's name for turning writing trapped inside image pixels into editable text. It extracts what the image says in its original language. It does not convert English into Arabic, German, or any other language.
This route converts visual writing into editable characters. The extracted wording stays in the language shown in the image and remains tied to the source for correction.
If the page contains more than one script, begin with the mixed-language OCR review workflow. For difficult names and punctuation, use the character-level name and punctuation checks while keeping every word in its original language.
Move from visible image regions to editable text
Locate the text regions
Keep headings, labels, captions, callouts, and body text separate long enough to understand their visible order.
Transcribe what is visible
Select the language printed in the image and extract its wording without language conversion, paraphrasing, or summarization.
Review the source-language result
Compare characters and region order with the image. Preserve uncertainty when a mark cannot be resolved from the pixels.
Preserve source tokens exactly
Short fields often carry more consequence than surrounding prose. Check them directly against the image instead of correcting them from context.
- IdentityPeople, places, organizations, brands, and product names
- FiguresDates, times, prices, quantities, measurements, and percentages
- Machine tokensURLs, email addresses, reference codes, model numbers, and account identifiers
- ConsequencesWarnings, prohibitions, deadlines, dosage text, payment instructions, and legal conditions
Check characters, wording, and visual reading order
| Review point | Likely failure | Validation action |
|---|---|---|
| Character fidelity | Similar letters, digits, accents, or symbols are substituted | Compare every consequential source token with the image |
| Region order | Labels, captions, columns, or callouts join in the wrong sequence | Map the visible regions before combining their text |
| Source meaning | A plausible correction or rewrite changes what is actually shown | Keep the original wording and mark uncertainty instead of guessing |
A station notice extracted without rewriting it
For a photographed station notice, identify the heading, destination, platform, time, and warning as separate regions. Extract each region in the language shown, preserve the place name and time exactly, then assemble the text in the visible reading order. The result should copy what the image shows without converting it into another language or rewriting it.
When automatic image text extraction is not the right method
Use native copy when the source already contains selectable text. Use a qualified human transcriber for damaged, handwritten, historical, or high-consequence material, and use an approved offline process when the image contains private information.
Read when human transcription is safer than OCR, and apply the online OCR privacy checklist before uploading a sensitive source.