Hindi Image to Text
Free Hindi OCR — Devanagari measured at 98.5%.
VisionParse converts Hindi images to editable UTF-8 text free in your browser, reading Devanagari with a dedicated model.
Measured: 98.46% character accuracy on printed Hindi, including conjunct clusters, vowel signs above and below the headline, and the danda (।) sentence mark. Devanagari’s connecting headline actually helps recognition — it binds words into clear units — which is part of why Hindi outperforms several other non-Latin scripts in our measurements.
- Free · no account
- JPG · PNG · WEBP · TIFF · BMP · HEIC
- 3 MB · 3 pages
- Deleted within 1h
Drop an image to read it
JPG, PNG, WEBP, TIFF, BMP, HEIC — 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
Hindi printed text read at 98.46% character accuracy in our measurement, scored against exact ground truth.
- SPEED
VisionParse read a Hindi paragraph in 0.24 seconds on an 8-vCPU server.
- LANGUAGES
The Hindi model reads Devanagari conjunct clusters, matras above and below the शिरोरेखा headline, and standard punctuation including the danda (।).
- LIMIT
Handwritten Devanagari and decorative display typefaces are outside the measured claim — the figure is for printed text.
- ACCESS
The Hindi image to text tool requires no account, no email address and no payment card.
- RETENTION
VisionParse deletes free-tool Hindi files one hour after conversion.
Where the 98.46% character accuracy comes from.
Every figure on this page traces to a dated run on hardware we name. Nothing here is a vendor estimate.
Measured 2026-08-03
- Claim
- Printed Hindi read at 98.46% — conjuncts and matras included, with the headline working for recognition rather than against it.
- Method
- VisionParse standard recognition tier, single-threaded. Full methodology.
- Sample
- A 130-character Hindi document paragraph rendered with Devanagari-correct Noto type through Pango (real text shaping), read through the production pipeline with the hin language model, and scored character-by-character against the exact source.
- Measured
2026-08-03on Contabo Cloud VPS 8 — 8 vCPU AMD EPYC, 24 GB RAM, Ubuntu 24.04.4- Limitations
- Standard printed Devanagari; stylised wedding-card and poster typefaces will score lower. 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
Conjunct clusters read as their correct combined forms. Clusters like क्त and स्थ — single glyphs built from multiple consonants — came back as the right Unicode sequences, so the text is searchable and editable, not just visually similar.
Vowel marks below the line are the weakest point. The under-consonant matras (ु, ू) are small and sit where descenders blur first. They account for most of the 1.54% error; higher-resolution sources eliminate them almost entirely.
Three steps, no account.
Drop your Hindi image
A scan, a photo or a screenshot — JPG, PNG, WEBP, TIFF, BMP and HEIC are all accepted.
We read it in the right language
This page's converter runs Hindi recognition (hin) — not English recognition guessing at Devanagari shapes.
Take the text
UTF-8 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 |
|---|---|
| Language model | Hindi (hin), Tesseract 5 traineddata |
| Script | Devanagari |
| Measured accuracy | 98.46% character accuracy (2026-08-03) |
| Measured speed | 0.24 s per paragraph |
| Output | Plain text, UTF-8 |
| Maximum file size | 3 MB |
| Rate limit | 5 files per hour, per IP address |
| 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
Does it read conjunct (joint) letters correctly?
Yes — clusters like क्त, त्र and ज्ञ return as correct Unicode sequences, which means the output is genuinely searchable and editable rather than just looking right.
Can it read Marathi or Sanskrit in Devanagari?
The model is trained for Hindi, but the script is shared: Marathi and Sanskrit print in Devanagari generally reads well, with vocabulary-specific characters slightly riskier.
Does the headline (shirorekha) confuse the OCR?
The opposite — the connecting line groups words into clean units, which is one reason our Hindi figure (98.46%) is among the highest of our non-Latin measurements.
Is the Hindi image 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 Hindi documents?
Free-tool files are deleted one hour after conversion, and no customer file is ever used to train models.