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Korean Image to Text

Free Korean OCR — 80% measured, and we tell you why.

VisionParse converts Korean images to editable UTF-8 text free in your browser. Our measured figure is 80% — the lowest on this site, published anyway.

Honesty first: Korean is our weakest measured language. On a wide single-line paragraph the engine mis-segmented Hangul blocks and scored 80%; we verified at two rendering sizes to make sure it was real engine behaviour, not a test artifact. The failure mode is specific — long, wide lines of text — and narrower layouts fare better. A page that published only its best numbers would not be worth trusting on its good ones.

Last updated: 2026-08-03 · Measured by VisionParse engineering

  • Free · no account
  • JPG · PNG · WEBP · TIFF · BMP · HEIC
  • 3 MB · 3 pages
  • Deleted within 1h
No file yetReady

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.

5 files a day3 an hour3 MB a file3 pages a filedeleted after 1h

What this tool does, in numbers.

  • ACCURACY

    Korean printed text read at 80% character accuracy in our measurement, scored against exact ground truth.

  • SPEED

    VisionParse read a Korean paragraph in 0.22 seconds on an 8-vCPU server.

  • LANGUAGES

    Hangul syllable blocks — each a composed square of 2–3 letters — are read as complete Unicode syllables, with the confidence score honestly reflecting segmentation trouble.

  • LIMIT

    Wide lines are the measured failure mode: the engine fragments long Hangul lines into misordered pieces. Crop text into narrower blocks before uploading.

  • ACCESS

    The Korean image to text tool requires no account, no email address and no payment card.

  • RETENTION

    VisionParse deletes free-tool Korean files one hour after conversion.

Where the 80% 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
Korean print read at 80% — our weakest measured language, failing on wide-line segmentation, verified at two rendering sizes.
Method
VisionParse standard recognition tier, single-threaded. Full methodology.
Sample
A 80-character Korean document paragraph rendered with Hangul-correct Noto type through Pango (real text shaping), read through the production pipeline with the kor language model, and scored character-by-character against the exact source.
Measured
2026-08-03 on Contabo Cloud VPS 8 — 8 vCPU AMD EPYC, 24 GB RAM, Ubuntu 24.04.4
Limitations
The failure is layout-dependent: wide single lines mis-segment while narrower blocks read better, so your results will vary with layout more than with image quality. 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

HELD UP

Individual syllable blocks read correctly. Where segmentation held, the composed Hangul squares themselves — 송장, 금액 — came back as correct Unicode syllables. The letters are not the problem.

KNOWN LIMIT

Wide lines break the reading order — this is the whole story. On wide renders the engine split lines into vertical fragments read out of order; at 40pt it got worse, not better, so this is segmentation, not resolution. Until we ship a fix or a better engine for Korean, crop documents into narrow columns for materially better results.

Three steps, no account.

  1. Drop your Korean image

    A scan, a photo or a screenshot — JPG, PNG, WEBP, TIFF, BMP and HEIC are all accepted.

  2. We read it in the right language

    This page's converter runs Korean recognition (kor) — not English recognition guessing at Hangul shapes.

  3. 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.

PropertyFree tool
Language modelKorean (kor), Tesseract 5 traineddata
ScriptHangul
Measured accuracy80% character accuracy (2026-08-03)
Measured speed0.22 s per paragraph
OutputPlain text, UTF-8
Maximum file size3 MB
Rate limit5 files per hour, per IP address
File retentionDeleted 1 hour after conversion
Processing locationFrankfurt, 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

Why do you publish an 80% figure instead of hiding it?

Because you would find out anyway, and because our other figures are only believable if the bad ones are published too. The failure mode is specific and avoidable — wide lines — and we would rather explain it than bury it.

How do I get better Korean results right now?

Crop the document into narrower blocks of text before uploading — the measured failure is line-width-dependent segmentation, not character recognition. Narrow columns read substantially better.

Is mixed Korean and English text affected?

The segmentation issue affects wide lines regardless of content. Short mixed lines — labels, forms, receipts — are the friendlier case.

Is the Korean 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 Korean documents?

Free-tool files are deleted one hour after conversion, and no customer file is ever used to train models.

Measured by VisionParse engineering. Method and raw data are published.Updated Benchmark · Method · Data handling