Reads printed and handwritten text from a JPEG, PNG, TIFF or single-page PDF at
Reads printed and handwritten text from a JPEG, PNG, TIFF or single-page PDF at a URL with Amazon Textract. Returns the full text and every line with its confidence and position.
Answeringour last check, 2026-10-25
1 of 1checks answered this week
499 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://ai.kagurazaka.dev/v1/ocr
| Category | Commerce and shopping |
|---|---|
| Provider host | ai.kagurazaka.dev |
| Networks | eip155:8453 |
| Payment schemes | exact |
| Self-reported calls, 30 days | 1 from 1 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-10-25 | valid payment request | 402 | $0.005 | 499 ms |
Example input (from the provider)
{
"body": {
"url": "https://raw.githubusercontent.com/tesseract-ocr/test/main/testing/phototest.tif"
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"url": {
"description": "https URL of a JPEG, PNG, TIFF or single-page PDF (up to 10 MB)",
"type": "string"
}
},
"required": [
"url"
]
},
"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": {
"properties": {
"lines": {},
"pages": {},
"text": {}
},
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}