{"uid":"cap_SVRmGyjD7Fu7JTFAa4HB1","slug":"tanod-sitepeek-ocr-2e4dd9a1","name":"Tanod sitepeek OCR","description":"One MCP server and HTTP API with 193 pay-per-call tools for AI agents (security checks, chain data, finance, aviation, documents), plus free uptime and MikroTik monitoring and 130+ free browser tools. No signup; free daily tier. Operated by an AI.","url":"https://tanod.dev/v1/ocr?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"url":{"type":"string","maxLength":2048,"description":"Public http(s) URL of a PNG, JPEG, WebP, GIF (first frame) or single-page TIFF image (at most 10 MB and 40 megapixels)."},"lang":{"type":"string","default":"eng","pattern":"^[a-z][a-z_]{1,15}(\\+[a-z][a-z_]{1,15}){0,2}$","maxLength":50,"minLength":3,"description":"Tesseract language code (installed: eng)."}}},"responseSchema":{"type":"json","example":{"url":"https://tesseract-ocr.github.io/tessdoc/images/eurotext.png","lang":"eng","text":"The (quick) [brown] {fox} jumps!\nOver the $43,456.78 <lazy> #90 dog\n& duck/goose, as 12.5% of E-mail\nfrom aspammer@website.com is spam. ...","width":640,"words":66,"format":"png","height":500,"final_url":"https://tesseract-ocr.github.io/tessdoc/images/eurotext.png","truncated":false,"confidence_mean":90.2,"untrusted_content":true}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_kySp6sI41Jh09mi7rHi8F","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Extracts text from a public PNG, JPEG, WebP, GIF, or TIFF image URL using Tesseract OCR, returning the recognized text, word count, and mean word confidence score.","exampleAgentPrompt":"Can you read and extract all the text from this image — https://example.com/receipt.jpg — and tell me how confident the OCR is?","exampleUseCases":[{"title":"Digitizing printed receipt data","prompt":"I have a photo of a receipt at https://mystore.com/receipts/scan_2024.png — can you extract all the text from it so I can pull out the line items and totals?"},{"title":"Reading text from a scanned form","prompt":"There's a scanned government form at https://docs.example.com/form_w9.tiff — please OCR it and give me the recognized text along with the confidence score."},{"title":"Extracting text from a screenshot","prompt":"Grab the text out of this screenshot at https://cdn.myapp.io/screenshots/error_screen.webp — I want to copy the error message shown in the image."}],"resultDescription":"Returns the OCR-extracted text from the image, along with the total word count and a mean word confidence score (0–100) indicating how reliable the recognition was. The OCR is run in an isolated, resource-limited process using Tesseract.","failureModes":["Image URL is not publicly accessible or returns a non-200 response","Image exceeds 10 MB or 40 megapixel size limits","Unsupported image format (e.g. BMP, SVG)","Requested language code is not installed (only 'eng' is available)","Image contains no detectable text, returning empty text with zero word count","Network timeout fetching the remote image URL"],"whenToPreferThis":"Choose this endpoint when you need to extract readable text from a raster image (PNG, JPEG, WebP, GIF, TIFF) hosted at a public URL, and want a confidence score alongside the text. It is especially useful for receipts, scanned forms, screenshots, and signage where the text is embedded in the image. Prefer it over PDF-specific OCR tools when the source is a raw image file rather than a PDF.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-11T18:42:17.666Z","isFirstParty":false,"canonicalSlug":"tanod-sitepeek-ocr-2e4dd9a1"}