# Textify OCR (`intellibits/textify`) Actor

Extract and Convert Image Text to Digital Text instantly.

- **URL**: https://apify.com/intellibits/textify.md
- **Developed by:** [Team Intellibits](https://apify.com/intellibits) (community)
- **Categories:** AI, Automation, Developer tools
- **Stats:** 15 total users, 0 monthly users, 100.0% runs succeeded, 2 bookmarks
- **User rating**: No ratings yet

## Pricing

from $20.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **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 usage examples, see the [API](#api) section below.

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).

# README

Textify - Extract text from images

Extracts all text from a public image URL using OpenAI vision and returns a simple JSON result.

Features

- Simple input: provide an image `url` and your API `key`.
- Supported formats: PNG, JPG/JPEG, GIF, WEBP.
- Consistent output: `{ "text": "..." }` (temperature 0 for deterministic results).

Inputs

- `url` (required): Public image URL (`png`, `jpg`, `jpeg`, `gif`, `webp`).
- `key` (required, secret): OpenAI API key used for the request.

How to Use (Apify)

- Start a new run and fill the input form (`url` and `key` are required).
- The run processes the image and finishes automatically.
- View the result in the run's Key-value store under the `OUTPUT` record.

Examples

- Apify Console: fill the form and run. Open Key‑value store → `OUTPUT`.
- Apify CLI:
  - `apify run -i '{"url":"https://example.com/image.jpg","key":"sk-..."}'`
  - Or: `apify call intellibits/textify -i '{"url":"https://example.com/image.jpg","key":"sk-..."}'`

Output

`OUTPUT` record example:

```
{ "text": "...extracted text..." }
```

Errors

- The run fails if `url` or `key` is missing/invalid. Check run logs for details.
- Avoid putting API keys in URLs; provide them only in input.

# Actor input Schema

## `url` (type: `string`):

Public URL of the image to extract text from (png, jpg, jpeg, gif, webp). Required.

## `key` (type: `string`):

OpenAI API key. If omitted, the environment variable OPENAI\_API\_KEY will be used if available.

## Actor input object example

```json
{
  "url": "https://example.com/image.jpg"
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "url": "https://example.com/image.jpg"
};

// Run the Actor and wait for it to finish
const run = await client.actor("intellibits/textify").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "url": "https://example.com/image.jpg" }

# Run the Actor and wait for it to finish
run = client.actor("intellibits/textify").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "url": "https://example.com/image.jpg"
}' |
apify call intellibits/textify --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=intellibits/textify",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/hwPUdLdI4W2Mj8YIn/builds/TeQphzfVbVPwguHEV/openapi.json