# Image Converter (`moving_beacon-owner1/my-actor-69`) Actor A 6-in-1 image processing actor that converts, compresses, and exports images at scale. - **URL**: https://apify.com/moving\_beacon-owner1/my-actor-69.md - **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community) - **Categories:** Developer tools, Automation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 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. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 ## 🖼️ Image Converter — Apify Actor A **6-in-1** image processing actor that converts, compresses, and exports images at scale. ### Operations | Operation | Description | |-----------|-------------| | `jpg_to_png` | JPG/JPEG → PNG (lossless) | | `png_to_jpg` | PNG → JPG (handles transparency) | | `webp_to_png` | WebP → PNG | | `jpg_to_webp` | JPG → WebP (smaller files) | | `any_to_webp` | Any format → WebP | | `heic_to_jpg` | HEIC/HEIF → JPG (iPhone photos) | | `to_base64` | Image → Base64 data URI | | `to_pdf` | Image → PDF document | | `compress` | Smart compression with target size | ### Input Examples #### Basic Format Conversion ```json { "operation": "jpg_to_png", "imageUrls": [ "https://example.com/photo1.jpg", "https://example.com/photo2.jpg" ] } ```` #### Smart Compression (target 200KB) ```json { "operation": "compress", "imageUrls": ["https://example.com/large-photo.jpg"], "quality": 85, "targetSizeKb": 200, "maxWidth": 1920, "maxHeight": 1080 } ``` #### Batch WebP Conversion ```json { "operation": "any_to_webp", "imageUrls": [ "https://example.com/banner.png", "https://example.com/hero.jpg", "https://example.com/thumb.bmp" ], "quality": 80 } ``` #### Image to PDF ```json { "operation": "to_pdf", "imageUrls": ["https://example.com/scan.jpg"], "pdfPageSize": "Letter" } ``` ### Output Each processed image produces a dataset record: ```json { "sourceUrl": "https://example.com/photo.jpg", "operation": "compress", "inputFilename": "photo.jpg", "outputFilename": "photo.jpg", "inputSize": 2456789, "inputSizeHuman": "2.3 MB", "outputSize": 198432, "outputSizeHuman": "193.8 KB", "sizeReductionPercent": 91.9, "kvsKey": "photo_a1b2c3d4.jpg", "downloadUrl": "https://api.apify.com/v2/key-value-stores/.../records/photo_a1b2c3d4.jpg", "status": "success" } ``` Converted files are saved to the **Key-Value Store** for direct download. ### Local Development ```bash ## Install dependencies pip install -r requirements.txt ## Run locally with Apify CLI apify run --input '{"operation":"compress","imageUrls":["https://picsum.photos/800/600.jpg"],"quality":75}' ``` # Actor input Schema ## `operation` (type: `string`): Select which conversion to perform. ## `imageUrls` (type: `array`): List of image URLs to process. Supports JPG, PNG, WebP, BMP, TIFF, GIF, and HEIC. ## `quality` (type: `integer`): JPEG/WebP quality (1-100). Higher = better quality but larger file. Ignored for PNG output. ## `targetSizeKb` (type: `integer`): Automatically adjust quality to hit this target size. Only works with JPEG/WebP compression. Leave empty to use fixed quality. ## `maxWidth` (type: `integer`): Resize image if wider than this value (preserves aspect ratio). Leave empty for no resize. ## `maxHeight` (type: `integer`): Resize image if taller than this value (preserves aspect ratio). Leave empty for no resize. ## `pdfPageSize` (type: `string`): Page size when converting to PDF. ## `base64IncludeHeader` (type: `boolean`): When converting to Base64, include the 'data:image/...;base64,' prefix for direct HTML/CSS embedding. ## `outputToKvs` (type: `boolean`): Save converted images to the default Key-Value Store for direct download. ## `proxyConfiguration` (type: `object`): Use proxies when downloading images from URLs that may block direct access. ## Actor input object example ```json { "operation": "compress", "imageUrls": [ "https://picsum.photos/800/600.jpg" ], "quality": 85, "pdfPageSize": "A4", "base64IncludeHeader": true, "outputToKvs": true, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "operation": "compress", "imageUrls": [ "https://picsum.photos/800/600.jpg" ], "quality": 85, "pdfPageSize": "A4", "base64IncludeHeader": true, "outputToKvs": true, "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("moving_beacon-owner1/my-actor-69").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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "operation": "compress", "imageUrls": ["https://picsum.photos/800/600.jpg"], "quality": 85, "pdfPageSize": "A4", "base64IncludeHeader": True, "outputToKvs": True, "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("moving_beacon-owner1/my-actor-69").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 '{ "operation": "compress", "imageUrls": [ "https://picsum.photos/800/600.jpg" ], "quality": 85, "pdfPageSize": "A4", "base64IncludeHeader": true, "outputToKvs": true, "proxyConfiguration": { "useApifyProxy": false } }' | apify call moving_beacon-owner1/my-actor-69 --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=moving_beacon-owner1/my-actor-69", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Image Converter", "description": "A 6-in-1 image processing actor that converts, compresses, and exports images at scale.", "version": "0.0", "x-build-id": "9dII0BASjxcC8DBHT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/moving_beacon-owner1~my-actor-69/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-moving_beacon-owner1-my-actor-69", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/moving_beacon-owner1~my-actor-69/runs": { "post": { "operationId": "runs-sync-moving_beacon-owner1-my-actor-69", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/moving_beacon-owner1~my-actor-69/run-sync": { "post": { "operationId": "run-sync-moving_beacon-owner1-my-actor-69", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "operation" ], "properties": { "operation": { "title": "Conversion Operation", "enum": [ "jpg_to_png", "png_to_jpg", "webp_to_png", "jpg_to_webp", "any_to_webp", "heic_to_jpg", "to_base64", "to_pdf", "compress" ], "type": "string", "description": "Select which conversion to perform.", "default": "compress" }, "imageUrls": { "title": "Image URLs", "type": "array", "description": "List of image URLs to process. Supports JPG, PNG, WebP, BMP, TIFF, GIF, and HEIC.", "items": { "type": "string" } }, "quality": { "title": "Output Quality", "minimum": 1, "maximum": 100, "type": "integer", "description": "JPEG/WebP quality (1-100). Higher = better quality but larger file. Ignored for PNG output.", "default": 85 }, "targetSizeKb": { "title": "Target File Size (KB)", "minimum": 1, "type": "integer", "description": "Automatically adjust quality to hit this target size. Only works with JPEG/WebP compression. Leave empty to use fixed quality." }, "maxWidth": { "title": "Max Width (px)", "minimum": 1, "type": "integer", "description": "Resize image if wider than this value (preserves aspect ratio). Leave empty for no resize." }, "maxHeight": { "title": "Max Height (px)", "minimum": 1, "type": "integer", "description": "Resize image if taller than this value (preserves aspect ratio). Leave empty for no resize." }, "pdfPageSize": { "title": "PDF Page Size", "enum": [ "A4", "A3", "Letter", "Legal" ], "type": "string", "description": "Page size when converting to PDF.", "default": "A4" }, "base64IncludeHeader": { "title": "Include Data URI Header", "type": "boolean", "description": "When converting to Base64, include the 'data:image/...;base64,' prefix for direct HTML/CSS embedding.", "default": true }, "outputToKvs": { "title": "Save Files to Key-Value Store", "type": "boolean", "description": "Save converted images to the default Key-Value Store for direct download.", "default": true }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Use proxies when downloading images from URLs that may block direct access." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```