Da immagine a testo — riconoscimento ottico gratis

# OCR a local image (JPG, PNG, WebP, GIF, BMP, TIFF)
curl -X POST https://api.parsejet.com/v1/parse/image/ocr \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -F "[email protected]"

# Korean, Cyrillic, Arabic, Hindi, Thai: pass a language hint
curl -X POST https://api.parsejet.com/v1/parse/image/ocr \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -F "[email protected]" -F "language=ko"

import httpx

resp = httpx.post(
    "https://api.parsejet.com/v1/parse/image/ocr",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    files={"file": open("screenshot.png", "rb")},
)
data = resp.json()
print(data["text"])                          # the recognized text
print(data["metadata"]["ocr_confidence"])    # e.g. 0.97

const formData = new FormData();
formData.append("file", imageFile);      // File from an <input type="file">

const res = await fetch("https://api.parsejet.com/v1/parse/image/ocr", {
  method: "POST",
  headers: { Authorization: "Bearer YOUR_API_KEY" },
  body: formData,
});
const { text, metadata } = await res.json();
console.log(text, metadata.ocr_confidence);