Image OCR Text Extractor: text from image URLs, per line

ACTOR=steadydata~image-ocr-text
URL="https://api.apify.com/v2/acts/$ACTOR/run-sync-get-dataset-items"

curl -X POST "$URL?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"urls": ["https://raw.githubusercontent.com/madmaze/pytesseract/master/tests/data/test.png"], "minConfidence": "0.5"}'

import os, requests

ACTOR = "steadydata~image-ocr-text"
URL = f"https://api.apify.com/v2/acts/{ACTOR}/run-sync-get-dataset-items"

rows = requests.post(
    URL,
    params={"token": os.environ["APIFY_TOKEN"]},
    json={'urls': ['https://raw.githubusercontent.com/madmaze/pytesseract/master/tests/data/test.png'], 'minConfidence': '0.5'},
    timeout=900,
).json()

# every row carries a status; failures are records, not exceptions
ok = [r for r in rows if r.get("status") == "ok"]
print(len(ok), "rows delivered")

const ACTOR = "steadydata~image-ocr-text";
const url =
  `https://api.apify.com/v2/acts/${ACTOR}/run-sync-get-dataset-items` +
  `?token=${process.env.APIFY_TOKEN}`;

const rows = await fetch(url, {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({"urls": ["https://raw.githubusercontent.com/madmaze/pytesseract/master/tests/data/test.png"], "minConfidence": "0.5"}),
}).then((r) => r.json());

// one object per delivered row, same shape every time
console.log(rows.filter((r) => r.status === "ok").length, "rows");

https://mcp.apify.com?tools=steadydata/image-ocr-text

# the tool arrives in your agent as steadydata--image-ocr-text

{
  "url": string | null,
  "text": string | null,
  "lines": array | null,
  "lineCount": integer | null,
  "avgConfidence": number | null,
  "boxes": array | null,
  "width": integer | null,
  "height": integer | null,
  "format": string | null,
  "fileBytes": integer | null,
  "processedMs": integer | null,
  "status": string | null,
  "input": string | null,
  "errorCode": string | null,
  "error": string | null
}