OCR — Extract Text from Images
Upload an image and extract text instantly using OCR. ParseJet reads text from screenshots, photos of documents, scanned pages, and any image format — then returns clean, copy-ready text. Use it online or integrate the OCR API into your workflow.
Drop a file here or browse
Accepts JPG,JPEG,PNG,GIF,WEBP,TIFF,BMP files
Free — 3 requests/day, no signup. for 300 credits/month free.
How it works
Upload an image
Drop a JPG, PNG, WebP, or other image file. You can also paste a URL to an image hosted online.
OCR processing
ParseJet applies optical character recognition to detect and extract all text in the image, including multi-language content.
Get clean text
Copy the extracted text or use the API to integrate OCR into your application. Returns plain text by default.
Key features
What makes this ocr api stand out.
Multiple image formats
Supports JPG, JPEG, PNG, GIF, WebP, TIFF, and BMP — upload any common image format.
Multi-language OCR
Reads text in Latin, CJK (Chinese, Japanese, Korean), Cyrillic, Arabic, Devanagari, and other scripts.
Screenshot-friendly
Optimized for screenshots, UI mockups, and screen captures — not just document scans.
No preprocessing needed
ParseJet handles rotation, skew correction, and noise reduction internally. Just upload your image as-is.
API-first design
Use the REST API to add OCR to any application. Returns JSON with extracted text, ready for downstream processing.
Use cases
Common scenarios where this tool saves you time.
Screenshot text extraction
Extract text from screenshots of error messages, chat conversations, code snippets, or any on-screen content.
Document digitization
Convert photos of paper documents, receipts, business cards, and handwritten notes into searchable digital text.
Image-based PDF processing
When combined with PDF parsing, extract text from scanned PDF documents that contain only images.
Automated data entry
Read text from product labels, forms, ID cards, and other physical media via the OCR API for automated data capture.
Automate with the API
Use the same tool programmatically. Works with any language — just HTTP.
# OCR on a local image file curl -X POST https://api.parsejet.com/v1/parse/auto/file \ -H "Authorization: Bearer YOUR_API_KEY" \ -F "[email protected]" # OCR on an image URL curl -X POST https://api.parsejet.com/v1/parse/auto/url \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{"url": "https://example.com/photo.jpg"}'
import httpx
# Extract text from an image using OCR
resp = httpx.post(
"https://api.parsejet.com/v1/parse/auto/file",
headers={"Authorization": "Bearer YOUR_API_KEY"},
files={"file": open("screenshot.png", "rb")},
)
ocr_text = resp.json()["text"]
print(ocr_text)
# Batch OCR: process multiple images
from pathlib import Path
for img in Path("scans/").glob("*.jpg"):
with open(img, "rb") as f:
resp = httpx.post(
"https://api.parsejet.com/v1/parse/auto/file",
headers={"Authorization": "Bearer YOUR_API_KEY"},
files={"file": (img.name, f, "image/jpeg")},
)
print(f"{img.name}: {resp.json()['text'][:100]}...") // OCR on a file input from a web form
const fileInput = document.querySelector('input[type="file"]');
const file = fileInput.files[0];
const formData = new FormData();
formData.append("file", file);
const res = await fetch("https://api.parsejet.com/v1/parse/auto/file", {
method: "POST",
headers: { Authorization: "Bearer YOUR_API_KEY" },
body: formData,
});
const { text } = await res.json();
console.log(text); // Extracted text from image Want to automate this?
ParseJet API gives you the same parsing power via a single HTTP endpoint. No ffmpeg, no poppler, no tesseract — just one API call.
Frequently asked questions
What image formats does the OCR support?
ParseJet OCR supports JPG, JPEG, PNG, GIF, WebP, TIFF, and BMP. Upload any of these formats and get extracted text instantly.
How accurate is the OCR?
ParseJet uses state-of-the-art OCR models that handle printed text, screenshots, and clean document scans with high accuracy. Handwritten text and very low-resolution images may have reduced accuracy.
Can I use the OCR API with Python?
Yes. Install the ParseJet Python SDK (pip install parsejet) or make a POST request to /v1/parse/auto/file with your image file. See the code examples above.
Does it support multiple languages?
Yes. ParseJet OCR can extract text in most languages that use Latin, CJK (Chinese, Japanese, Korean), Cyrillic, Arabic, and other common scripts.
Can I OCR a PDF with scanned pages?
Yes. When you upload a scanned PDF, ParseJet automatically detects image-based pages and applies OCR. Use the PDF to Text or PDF to Markdown tools for this.
Is it free?
Yes. You get 3 free OCR requests per day with no signup. Create a free account for 300 credits per month. Paid plans start at $19/month with higher quotas.
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