GOT-OCR v2

Free.ai · ocr · ~500 tokens per page

Dzvanya uye bvisa faira pano kana tinya kuti uone

~500 tokens per page
Inofamba zvakasununguka paGPU yedu. Kuvandudza kwe GOT-OCR v2 →

GOT-OCR v2 is an OCR model. Yakanangana nekunze mamodheru - ~ 500 tokens papeji (50% markup pamusoro peupstream mutengo).

Usati washandisa

OpenAI-inowirirana REST API. Kugadzira chiratidzo uye kukumbira iyi model mumasekondi.

curl -X POST https://api.free.ai/v1/ocr/ \
  -H "Authorization: Bearer sk-free-..." \
  -H "Content-Type: application/json" \
  -d '{"model":"premium/got-ocr/v2","prompt":"your prompt here"}'
API Documentation Get API Key

Zvimwe zvinobvunzwa kakawanda

GOT-OCR v2 anotora mazita kubva kune mapikicha uye PDFs. Upload a scanned page, a screenshot, kana a photo of a document and GOT-OCR v2 returns the text - preserving line breaks and (on capable engines) tables, formulas, and structure.

GOT-OCR v2 inobata mazhinji emazita ezvinyorwa - Latin, Cyrillic, CJK, Arabic, Devanagari, uye zvimwe. / ocr / landing ine yakazara runyorwa rwemazita ezvinyorwa.

Yes for clean printed-style handwriting; cursive and shorthand are harder. TrOCR and modern transformer-based engines are noticeably better than legacy Tesseract on handwriting.

Layout-aware engines (GOT-OCR, Marker, Florence-2) idzoreredza Markdown/HTML mapepanhau uye LaTeX for formulas. Plain-text engines idzoreredza mapepanhau pasina hunhu — tarisa izvi model's output mode.

GOT-OCR v2 ndeimwe yemhando yepamusoro OCR injini. Pamusoro pe ~ 500-1,500 tokens papeji, inoratidzwa zviri pamutemo usati wagadzira. Self-hosted OCR inofamba pasina mari pa30,000-token yezuva nezuva pool; premium models are pay-as-you-go, with top-ups from $1.

PNG, JPG, WebP, HEIC, BMP, pamwe nePDFs ine imwe uye yakawanda peji kusvika ku50 MB. Kukanganisa kana kutenderera peji kunogadziriswa otomatiki mushure mekubvisa.

Character accuracy inowanzoita>98% pazvinyorwa zvakadhindwa zvakachena, kudonha pazvinyorwa zve low-res, zvakaoma kusvibiswa, kana zvisina kujairika fonts. Compare engines on /ocr/compare/ when accuracy matters.

Yes - /batch/ inogamuchira folder yemafaira emafaira/PDFs. Each extraction lands in /account/?tab=history. For folder-tree preservation use the API.

Yeah — POST yako faira kuti /v1/ocr/ with model="GOT-OCR v2". Returns JSON with text + (kana yakatsigirwa) layout + word-level bounding boxes. /api/ ine yakazara reference.

Self-inochengetwa mamodheru kuchengetedza faira rako paGPUs yedu; premium kutenderera kuburikidza neDPA. Mapepa anoparadzwa mushure mekugovera-window. Isu hatina kudzidzisa pane yako inputs.

Yeah — Free.ai inobvumidza kushandiswa kwezvigadzirwa zvemapepa. Unofanira kunge uine kodzero dzekushandisa chinyorwa chemutauro wechigadzirwa.

1-5 masekondi papeji zvakajairika. Layout-aware injini (tabs, math) kutora nguva yakareba. Multi-page PDFs kuchinja zvakaenzana linearly.

Kuda Free.ai? Tinya pano kuti utore screenshot.

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