ToolAssay

Extract text from images using Tesseract OCR

Extract text from images using Tesseract OCR. Send image as image_base64 (PNG/JPEG/WebP/TIFF/BMP, max 10 MB decoded). Returns text and confidence (0-100, where 80+ is reliable). Set language to Tesseract code: 'eng' (default), 'deu' (German), 'fra' (French), 'chi_sim' (Chinese Simplified), 'jpn' (Japanese), 'ara' (Arabic). Use for invoices, receipts, scanned documents, or screenshots with text.

Not tested: has real-world effectsour last check, 2026-10-10
0 of 0checks answered this week
n/amedian answer time
$0.009listed price per call
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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://agentsvc.io/api/v1/proxy/ocr

CategoryImage and media
Provider hostagentsvc.io
Networkseip155:137, eip155:42161, eip155:8453, solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp
Payment schemesexact
Self-reported calls, 30 days8 from 1 payers (the provider's figure, not ours)

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Example input (from the provider)

{
  "body": {
    "image_base64": "<base64 of a PNG/JPG>",
    "language": "eng"
  },
  "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": {
          "properties": {
            "image_base64": {
              "description": "Base64-encoded image. Supported formats: PNG, JPEG, WebP, TIFF, BMP. Max 10 MB decoded. For best results use high-contrast images with clear text.",
              "type": "string"
            },
            "language": {
              "default": "eng",
              "description": "Tesseract language code. Default: 'eng' (English). Other supported: 'deu' (German), 'fra' (French), 'spa' (Spanish), 'ita' (Italian), 'por' (Portuguese), 'rus' (Russian), 'chi_sim' (Chinese Simplified), 'jpn' (Japanese), 'ara' (Arabic), 'kor' (Korean), 'nld' (Dutch), 'pol' (Polish). Use '+' to combine: 'eng+deu'.",
              "type": "string"
            },
            "psm": {
              "default": 3,
              "description": "Page Segmentation Mode. 3 = fully automatic (default, best for most images). 6 = single uniform block of text. 7 = single text line. 11 = sparse text (find text anywhere). 13 = raw line (no line ordering). Use 6 or 7 for forms/labels.",
              "type": "integer"
            }
          },
          "required": [
            "image_base64"
          ]
        },
        "bodyType": {
          "enum": [
            "json",
            "form-data",
            "text"
          ],
          "type": "string"
        },
        "method": {
          "enum": [
            "POST",
            "PUT",
            "PATCH"
          ],
          "type": "string"
        },
        "type": {
          "const": "http",
          "type": "string"
        }
      },
      "required": [
        "type",
        "method",
        "bodyType",
        "body"
      ],
      "type": "object"
    },
    "output": {
      "properties": {
        "example": {
          "properties": {
            "data": {
              "properties": {
                "char_count": {
                  "description": "Number of characters extracted (excluding whitespace)",
                  "type": "integer"
                },
                "confidence": {
                  "description": "Overall OCR confidence score (0-100). Above 70 is considered reliable.",
                  "type": "number"
                },
                "language": {
                  "description": "Language code used for recognition",
                  "type": "string"
                },
                "processed_at": {
                  "description": "ISO 8601 timestamp",
                  "format": "date-time",
                  "type": "string"
                },
                "processing_ms": {
                  "description": "Time taken for OCR processing in milliseconds",
                  "type": "integer"
                },
                "text": {
                  "description": "Full extracted text from the image, with line breaks preserved",
                  "type": "string"
                },
                "word_count": {
                  "description": "Number of words extracted",
                  "type": "integer"
                }
              },
              "required": [
                "text",
                "confidence",
                "language",
                "processed_at"
              ],
              "type": "object"
            },
            "success": {
              "type": "boolean"
            }
          },
          "required": [
            "success",
            "data"
          ],
          "type": "object"
        },
        "type": {
          "type": "string"
        }
      },
      "required": [
        "type"
      ],
      "type": "object"
    }
  },
  "required": [
    "input"
  ],
  "type": "object"
}

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