$0.05
per call · USD Coin on Base
OCR extraction from scanned PDF documents (English). Uses Tesseract to read text from image-based pages that have no embedded text layer. Returns structured text and metadata. Ideal for invoices, receipts, contracts, and legacy documents. $0.05 per extraction.
Endpoint
GET https://visual.hugen.tokyo/visual/ocr3
Calls / 30d
2
Unique payers / 30d
Sep 2
Last called
exact
Payment scheme
Call this service
import { wrapFetchWithPayment } from "@x402/fetch";
import { privateKeyToAccount } from "viem/accounts";
const account = privateKeyToAccount(process.env.PRIVATE_KEY);
const fetchWithPay = wrapFetchWithPayment(fetch, account);
const res = await fetchWithPay("https://visual.hugen.tokyo/visual/ocr", {
method: "GET",
});
const data = await res.json();curl -X GET \
"https://visual.hugen.tokyo/visual/ocr?max_pages=50&url=https%3A%2F%2Fexample.com%2Fscanned-invoice.pdf" \
-H "X-PAYMENT: <signed x402 payment>"Example response
{
"metadata": {
"file_size_bytes": 1548290,
"page_count": 3
},
"summary_stats": {
"has_text": true,
"ocr_pages": 3,
"total_characters": 2840
}
}Payment details
0x29322ea7ecb34aa6164cb2ddeb9ce650902e4f60USD Coin · 0x833589fcd6edb6e08f4c7c32d4f71b54bda02913Is this your API?
Pin it to the top of Media & Generation and the homepage with a featured placement.
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