# Scheduled Invoice OCR Pipeline

**Use case:** 

Run a recurring invoice OCR pipeline on an Apify schedule to keep a document archive current. This example submits invoice image URLs with stable input IDs so downstream systems can reconcile each document across every run. Attach it to a weekly or monthly schedule to extract invoice text as new documents arrive, with no input rebuild needed. Dataset rows show which invoices succeeded or failed.

## Input

```json
{
  "imageUrl": "https://tesseract.projectnaptha.com/img/eng_bw.png",
  "imageUrlInputId": "",
  "imageUrls": [
    {
      "url": "https://upload.wikimedia.org/wikipedia/commons/d/d1/Parcelforce_Import_Charge_Invoice.jpg",
      "userData": {
        "inputId": "invoice-2026-09-01"
      }
    }
  ],
  "imagesBase64": [],
  "imageKvsRecords": [],
  "outputDetail": "full",
  "translateTo": "",
  "maxConcurrency": 3
}
```

## Output

```json
{
  "inputId": {
    "label": "Input ID",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "sourceType": {
    "label": "Source type",
    "format": "string"
  },
  "sourceReference": {
    "label": "Source",
    "format": "string"
  },
  "language": {
    "label": "Detected language",
    "format": "string"
  },
  "wordCount": {
    "label": "Words",
    "format": "integer"
  },
  "imageWidth": {
    "label": "Width",
    "format": "integer"
  },
  "imageHeight": {
    "label": "Height",
    "format": "integer"
  },
  "lineGeometryAvailable": {
    "label": "Line boxes available",
    "format": "boolean"
  },
  "wordGeometryAvailable": {
    "label": "Word boxes available",
    "format": "boolean"
  },
  "durationMs": {
    "label": "Duration (ms)",
    "format": "integer"
  },
  "errorCode": {
    "label": "Error code",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Google Lens OCR API: Batch Image to Text](https://apify.com/getascraper/google-lens-ocr.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/getascraper/google-lens-ocr.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/getascraper/google-lens-ocr.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).