JPEG to Text
Free JPEG OCR in your browser. Baseline or progressive — measured identical.
VisionParse converts JPEG images to editable text free in your browser, with no account required.
JPEG and JPG are the same format with two file extensions. We measured the encoding variants separately: a baseline JPEG, a progressive JPEG (the web default) and a 4:4:4 chroma-subsampled JPEG of the same document all read at 100% character accuracy, in about 0.6 seconds each. The progressive file was 8.6% smaller for identical recognition.
- Free · no account
- JPEG · JPG
- 3 MB · 3 pages
- Deleted within 1h
Drop an image to read it
JPEG, JPG — up to 3 MB. Your file is read on our servers in Frankfurt and deleted within the hour.
What this tool does, in numbers.
- ACCURACY
Baseline, progressive and 4:4:4 JPEG encodings of the same document each read at 100% character accuracy in our measurement.
- SPEED
VisionParse read a JPEG invoice in 0.61 seconds on an 8-vCPU server.
- LIMIT
A quality-10 JPEG — 27.9 KB against 95.5 KB at quality 85 — still read at 100% on printed text.
- LANGUAGES
VisionParse recognises 161 languages in JPEG files, including Arabic, Sinhala and Tamil.
- ACCESS
The JPEG to text tool requires no account, no email address and no payment card.
- RETENTION
VisionParse deletes free-tool JPEG files one hour after conversion.
Where the 100% on all 3 encodings comes from.
Every figure on this page traces to a dated run on hardware we name. Nothing here is a vendor estimate.
Measured 2026-08-02
- Claim
- The JPEG encoding variant does not change recognition: baseline, progressive and 4:4:4 all read at 100%.
- Method
- VisionParse standard recognition tier, single-threaded. Full methodology.
- Sample
- One synthetic invoice exported as baseline (95.5 KB), progressive (87.3 KB) and 4:4:4 chroma-sampled (95.5 KB) JPEG, each read through the production pipeline and scored against ground truth.
- Measured
2026-08-02on Contabo Cloud VPS 8 — 8 vCPU AMD EPYC, 24 GB RAM, Ubuntu 24.04.4- Limitations
- High-contrast printed text — the friendliest case for JPEG. Low-light photographs may respond differently to chroma subsampling. A single synthetic document per variant is a small sample and is not a substitute for a corpus. These figures describe format behaviour, not general accuracy. A 500-document corpus run is scheduled and will supersede them.
- Contact
- VisionParse@senithu.lk
What this tool gets wrong
Progressive JPEGs read exactly like baseline ones. Web exports and social-media downloads are usually progressive JPEGs. Ours read at 100%, byte-for-byte the same text as the baseline encoding, and 8.6% smaller. There is no need to re-save a progressive JPEG before OCR.
Extreme compression is survivable; low resolution is not. Quality 10 still read at 100% on this printed document, but resolution is the real ceiling — our JPG measurement saw accuracy fall to 56.8% at 300 pixels wide. Compress if you must; do not shrink.
Arabic-Indic numerals come back wrong. VisionParse reads Arabic script cleanly on the free tier, but ١٢٣ returned as 1#|. Numeric Arabic documents should use the AI extraction tier instead.
Three steps, no account.
Drop your JPEG
Drag the file onto the workbench — .jpeg and .jpg are the same format and both are accepted.
We clean it up
Deskew, denoise and contrast normalisation run before recognition, which matters most for photographed paper.
Take the text
Text appears with a confidence score. Copy it or download a .txt; the file is deleted within the hour.
What this tool accepts.
| Property | Free tool |
|---|---|
| Input formats | JPEG, JPG — identical format, either extension |
| Output | Plain text, UTF-8 |
| Encoding variants tested | Baseline, progressive, 4:4:4 — all 100% |
| Maximum file size | 3 MB |
| Rate limit | 5 files per hour, per IP address |
| Languages | 161 |
| File retention | Deleted 1 hour after conversion |
| Processing location | Frankfurt, Germany |
When to use the API instead.
This page converts one file now. To convert files from your own software, the same engine runs over HTTP from Starter upward.
# same engine, from your code curl -X POST https://api.visionparse.app/v1/ocr \ -H "x-api-key: $VISIONPARSE_KEY" \ -F "file=@image.jpg" → 202 { "jobId": "c0df8e2c…" }
Use the API when
You convert more than a few files, convert on a schedule, or need results inside another system. Batch, webhooks and bounding boxes are API-only.
Frequently asked
Is JPEG different from JPG for OCR?
No. JPEG and JPG are the same format — the three-letter extension is a relic of old Windows file systems. Both read identically here.
Do progressive JPEGs work with OCR?
Yes. We measured a progressive JPEG of the same document at 100% character accuracy — identical to baseline — and the file was 8.6% smaller.
Does chroma subsampling hurt text recognition?
Not in our measurement. A 4:4:4 (no subsampling) export and a standard 4:2:0 export both read at 100%. Recognition runs on luminance, which subsampling does not touch.
Is the JPEG to text tool free?
Yes — 5 files a day with no account, no email and no card. A free account raises the allowance to 100 pages a month.
Do you keep my JPEG?
Free-tool files are deleted one hour after conversion, and no customer file is ever used to train models.