# AI Translator, Summarizer & Rewriter (`jungle_synthesizer/ai-content-translator-summarizer`) Actor Transform any URL or text — translate, summarize, rewrite, extract key points, or TL;DR. URL inputs auto-extract to clean text. BYO model via OpenRouter. Token + cost accounting in every dataset row. Local cache for repeat inputs. - **URL**: https://apify.com/jungle\_synthesizer/ai-content-translator-summarizer.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** AI, Automation - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## AI Translator, Summarizer & Rewriter Transform any URL or raw text through five AI-powered modes: **translate**, **summarize**, **rewrite**, **extract-key-points**, and **tldr**. URL inputs are automatically fetched and extracted to clean text before processing. Every dataset row includes token counts and vendor cost, so you know exactly what each operation cost. ### What it does - **Translate** — Render text in any language. Provide an ISO 639-1 code or a language name. - **Summarize** — Condense content in formal, casual, technical, marketing, or SEO style. - **Rewrite** — Reword content in a chosen style while preserving length and meaning. - **Extract key points** — Produce a bulleted list of the core ideas. - **TL;DR** — One-paragraph summary of any length content. URL inputs go through a full fetch + article extraction pipeline to strip navigation, ads, and boilerplate before the AI call. Raw text inputs are processed directly. ### Input | Field | Required | Description | |-------|----------|-------------| | `inputs` | Yes | Array of objects. Each must have `url` or `text` (or both). Optional `language` field for source language hint. | | `openrouterApiKey` | Yes | Your OpenRouter API key (`sk-or-...`). Get a free key at [openrouter.ai](https://openrouter.ai). | | `mode` | No | `translate` (default), `summarize`, `rewrite`, `extract-key-points`, `tldr`. | | `targetLanguage` | Required when mode=translate | ISO 639-1 code (e.g. `es`) or language name (e.g. `French`). | | `style` | No | `formal` (default), `casual`, `technical`, `marketing`, `seo`. Applies to summarize and rewrite modes. | | `model` | No | OpenRouter model ID. Default: `openai/gpt-4o-mini`. Options: `openai/gpt-4o`, `anthropic/claude-3.5-haiku`, `anthropic/claude-3.5-sonnet`, `google/gemini-flash-1.5`, `mistralai/mistral-small`. | | `maxOutputTokens` | No | Maximum response length per input. Default: 1024. | | `useCache` | No | Cache results by input hash (7-day TTL). Identical inputs return instantly without consuming tokens. Default: true. | | `maxItems` | No | Cap on number of inputs to process. Default: 15. | #### Example input ```json { "inputs": [ { "url": "https://example.com/article" }, { "text": "The quick brown fox jumps over the lazy dog." } ], "mode": "translate", "targetLanguage": "es", "model": "openai/gpt-4o-mini", "openrouterApiKey": "sk-or-your-key-here" } ```` ### Output Each input item produces one dataset row: | Field | Type | Description | |-------|------|-------------| | `input` | object | Original input item | | `mode` | string | Operation mode used | | `model` | string | OpenRouter model ID | | `output` | string | Transformed content | | `inputTokens` | number | Tokens consumed by the prompt | | `outputTokens` | number | Tokens consumed by the completion | | `costUsd` | number | Vendor cost in USD for this record | | `cached` | boolean | True when served from local cache | | `extractedFromUrl` | boolean | True when a URL was fetched and extracted | | `sourceLanguage` | string | Source language | | `targetLanguage` | string | Target language (translate mode only) | | `status` | string | `success` or `error` | | `errorMsg` | string | Error detail on failure | #### Example output row ```json { "input": { "url": "https://example.com/article" }, "mode": "translate", "model": "openai/gpt-4o-mini", "output": "El rápido zorro marrón salta sobre el perro perezoso.", "inputTokens": 312, "outputTokens": 298, "costUsd": 0.00000918, "cached": false, "extractedFromUrl": true, "sourceLanguage": "en", "targetLanguage": "es", "status": "success", "errorMsg": null } ``` ### OpenRouter API key This actor calls the OpenRouter API using your own key. OpenRouter provides a unified gateway to 200+ LLM models from OpenAI, Anthropic, Google, Mistral, and others. 1. Sign up for free at [openrouter.ai](https://openrouter.ai) 2. Create an API key in your dashboard 3. Add credits (pay-as-you-go starting from a few dollars) 4. Paste the key into the `openrouterApiKey` field The actor passes your key directly to the OpenRouter API. No keys are stored. Costs are charged to your OpenRouter account balance. ### Model selection | Model | Best for | Cost | |-------|----------|------| | `openai/gpt-4o-mini` | Fast, cheap, good quality (default) | Very low | | `google/gemini-flash-1.5` | Fastest option | Very low | | `mistralai/mistral-small` | European languages | Low | | `anthropic/claude-3.5-haiku` | Nuanced rewrites | Low | | `openai/gpt-4o` | Highest quality | Medium | | `anthropic/claude-3.5-sonnet` | Complex content | Medium | For most translation and summarization tasks, `gpt-4o-mini` gives excellent results at minimal cost. ### Caching When `useCache` is enabled (default), results are cached using a SHA-256 hash of the input text, mode, target language, model, and style. A cache hit returns the stored output immediately with zero LLM calls. The cache TTL is 7 days. ### Concurrency and rate limits The actor processes up to 10 inputs in parallel. On rate limit responses (HTTP 429), the actor backs off exponentially with jitter and retries up to 5 times before recording an error for that item. Remaining inputs continue processing. ### Error handling Failed inputs produce a dataset row with `status: "error"` and an `errorMsg`. The actor continues processing remaining inputs. Common error causes: - Invalid or missing API key - URL unreachable or extraction returned empty content - OpenRouter model quota exceeded - `targetLanguage` missing when `mode` is `translate` # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `inputs` (type: `array`): Array of objects with either url or text field (or both). Example: \[{"url": "https://example.com"}, {"text": "Hello world"}] ## `mode` (type: `string`): No description ## `targetLanguage` (type: `string`): ISO 639-1 code or language name (e.g. 'es', 'French'). Required when mode is translate. ## `style` (type: `string`): No description ## `maxOutputTokens` (type: `integer`): Cap on response length per input. ## `model` (type: `string`): No description ## `openrouterApiKey` (type: `string`): Your OpenRouter API key (sk-or-...). Get one at openrouter.ai. Required. ## `useCache` (type: `boolean`): Cache results by input hash. Identical inputs return instantly on re-run without consuming tokens. ## `maxItems` (type: `integer`): Maximum number of inputs to process. Set to limit costs on large batches. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "inputs": [ { "url": "https://apify.com/about" } ], "mode": "translate", "targetLanguage": "es", "style": "formal", "maxOutputTokens": 1024, "model": "openai/gpt-4o-mini", "useCache": true, "maxItems": 5 } ``` # Actor output Schema ## `results` (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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "inputs": [ { "url": "https://apify.com/about" } ], "mode": "translate", "targetLanguage": "es", "style": "formal", "maxOutputTokens": 1024, "model": "openai/gpt-4o-mini", "useCache": true, "maxItems": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/ai-content-translator-summarizer").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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "inputs": [{ "url": "https://apify.com/about" }], "mode": "translate", "targetLanguage": "es", "style": "formal", "maxOutputTokens": 1024, "model": "openai/gpt-4o-mini", "useCache": True, "maxItems": 5, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/ai-content-translator-summarizer").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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "inputs": [ { "url": "https://apify.com/about" } ], "mode": "translate", "targetLanguage": "es", "style": "formal", "maxOutputTokens": 1024, "model": "openai/gpt-4o-mini", "useCache": true, "maxItems": 5 }' | apify call jungle_synthesizer/ai-content-translator-summarizer --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/ai-content-translator-summarizer", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "AI Translator, Summarizer & Rewriter", "description": "Transform any URL or text — translate, summarize, rewrite, extract key points, or TL;DR. URL inputs auto-extract to clean text. BYO model via OpenRouter. Token + cost accounting in every dataset row. Local cache for repeat inputs.", "version": "1.0", "x-build-id": "w8DiU1Kgz1Z0Kfc3O" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~ai-content-translator-summarizer/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-ai-content-translator-summarizer", "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/jungle_synthesizer~ai-content-translator-summarizer/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-ai-content-translator-summarizer", "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/jungle_synthesizer~ai-content-translator-summarizer/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-ai-content-translator-summarizer", "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": [ "sp_intended_usage", "sp_improvement_suggestions", "inputs", "openrouterApiKey" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "inputs": { "title": "Inputs", "type": "array", "description": "Array of objects with either url or text field (or both). Example: [{\"url\": \"https://example.com\"}, {\"text\": \"Hello world\"}]" }, "mode": { "title": "Mode", "enum": [ "translate", "summarize", "rewrite", "extract-key-points", "tldr" ], "type": "string", "description": "", "default": "translate" }, "targetLanguage": { "title": "Target Language", "type": "string", "description": "ISO 639-1 code or language name (e.g. 'es', 'French'). Required when mode is translate.", "default": "" }, "style": { "title": "Style", "enum": [ "formal", "casual", "technical", "marketing", "seo" ], "type": "string", "description": "", "default": "formal" }, "maxOutputTokens": { "title": "Max Output Tokens", "type": "integer", "description": "Cap on response length per input.", "default": 1024 }, "model": { "title": "Model", "enum": [ "openai/gpt-4o-mini", "openai/gpt-4o", "anthropic/claude-3.5-haiku", "anthropic/claude-3.5-sonnet", "google/gemini-flash-1.5", "mistralai/mistral-small" ], "type": "string", "description": "", "default": "openai/gpt-4o-mini" }, "openrouterApiKey": { "title": "OpenRouter API Key", "type": "string", "description": "Your OpenRouter API key (sk-or-...). Get one at openrouter.ai. Required." }, "useCache": { "title": "Use Cache", "type": "boolean", "description": "Cache results by input hash. Identical inputs return instantly on re-run without consuming tokens.", "default": true }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of inputs to process. Set to limit costs on large batches.", "default": 15 } } }, "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 } } } } } } } } } } ```