Reads the text in images (PNG, JPEG, WebP, TIFF and more) and scanned or born-di
Reads the text in images (PNG, JPEG, WebP, TIFF and more) and scanned or born-digital PDFs with OCR, in 100+ languages, and returns the text per file and per page with confidence scores. Up to 10 files a call. Priced per page allowance: files x maxPagesPerFile (default 5, at most 20) x $0.005. Runs nerolabs/bulk-ocr-image-pdf-to-text; can take a minute or two.
Answeringour last check, 2026-10-21
1 of 1checks answered this week
38 msmedian answer time
$0.005listed price per call
$0.005price it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
POST https://x402-agent-tools.nerolabs.workers.dev/ocr
| Category | Image and media |
|---|---|
| Provider host | x402-agent-tools.nerolabs.workers.dev |
| Networks | eip155:8453 |
| Payment schemes | exact |
| Self-reported calls, 30 days | 0 from 0 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-10-21 | valid payment request | 402 | $0.005 | 38 ms |
Example input (from the provider)
{
"body": {
"fileUrls": [
"https://nerolabs-samples.nerolabs.workers.dev/sample-receipt.png"
],
"maxPagesPerFile": 1
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"additionalProperties": false,
"properties": {
"dpi": {
"default": 200,
"description": "Resolution used to render PDF pages before recognition. 200 suits most scans; 300 helps small print and takes about twice as long; 150 is faster for large clean type. Images are used at their own resolution, enlarged when small and capped at 4000 pixels on the longest side.",
"maximum": 400,
"minimum": 100,
"type": "integer"
},
"fileUrls": {
"description": "A plain list of image (PNG, JPEG, WebP, GIF, BMP, TIFF) or PDF links, for a quick one-off run with no spreadsheet. Use the dataset, file or Google Sheet inputs above to keep your own columns alongside the results.",
"type": "array"
},
"includePageText": {
"default": false,
"description": "Add a 'pages' array with each page's text, method (OCR or copied text layer), confidence and word count, on top of the combined text. Useful for citing a page number, and it makes rows larger.",
"type": "boolean"
},
"languages": {
"description": "Tesseract language codes, one per line, for example eng, deu, fra, spa, por, ita, nld, pol, rus, jpn, chi_sim, chi_tra, ara, hin, kor. Several codes read mixed documents. English is built in; any other language is downloaded once at the start of the run (5 to 15 MB each). Picking the right language ",
"type": "array"
},
"maxPagesPerFile": {
"default": 20,
"description": "Pages read from each PDF before stopping. This is also your cost ceiling per file: a 300-page scan cannot run up a bill you did not expect. Images always count as one page.",
"maximum": 500,
"minimum": 1,
"type": "integer"
},
"minWordConfidence": {
"default": 0,
"description": "Drop words the engine is less sure about than this, from 0 to 100. Leave at 0 to keep everything and judge by the reported confidence instead. Raising it cuts noise out of poor scans at the cost of real words.",
"maximum": 100,
"minimum": 0,
"type": "integer"
},
"pageSegmentation": {
"default": "auto",
"description": "How the engine should look for text. 'Automatic' handles documents, receipts and letters. 'Sparse' finds scattered text on screenshots, slides and product photos. 'Single block' suits a cropped paragraph, 'single column' a narrow receipt, 'single line' a cropped field.",
"enum": [
"auto",
"sparse",
"single_block",
"single_column",
"single_line"
],
"type": "string"
},
"usePdfTextLayer": {
"default": true,
"description": "A born-digital PDF page already contains its text. When this is on, such pages are copied exactly and charged at the low text-layer rate instead of being rendered and recognised. Turn it off to force OCR on every page, for example when a PDF's text layer is known to be garbage.",
"type": "boolean"
}
},
"required": [
"fileUrls"
],
"type": "object"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}