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Extract text from images using OCR. Review the result before reusing it in another workflow.
OCR runs through DevShareHub image-to-text processing. For best results, upload clear screenshots or scanned images.
Runs in your browser without uploading to the cloud
// Install: npm install tesseract.js
import Tesseract from 'tesseract.js';
const { data: { text } } = await Tesseract.recognize(
image,
'eng',
{
logger: m => console.log(m)
}
);
setExtractedText(text);Backend OCR with better performance for large images
# FastAPI endpoint
import pytesseract
import { AppTextarea } from "@/components/ui/AppTextarea";
import { AppSelect } from "@/components/ui/AppSelect";
from PIL import Image
@app.post("/ocr")
async def extract_text(file, lang: str = "eng"):
image = Image.open(file)
text = pytesseract.image_to_string(
image, lang=lang
)
return {"text": text}Google Cloud Vision, AWS Textract, or Azure Computer Vision for production use
Use high-resolution images for better accuracy
Dark text on light background works best
Ensure text is horizontal, not skewed