ToolAssay

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

CategoryImage and media
Provider hostx402-agent-tools.nerolabs.workers.dev
Networkseip155:8453
Payment schemesexact
Self-reported calls, 30 days0 from 0 payers (the provider's figure, not ours)

Our checks, last 30 days

DayResultHTTPAskedTime
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"
}

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