# Speech-to-Text Converter (`moving_beacon-owner1/my-actor-72`) Actor Introducing the Speech-to-Text Converter — Apify Actor! Transform your audio into text effortlessly with our powerful, serverless multi-engine transcription solution on Apify. Experience seamless and accurate transcription like never before! - **URL**: https://apify.com/moving\_beacon-owner1/my-actor-72.md - **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community) - **Categories:** AI, Automation, Developer tools - **Stats:** 1 total users, 0 monthly users, 0.0% 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 ## 🎙️ Speech-to-Text Converter — Apify Actor Serverless **multi-engine speech-to-text** transcription on [Apify](https://apify.com). ### 🛠️ Engines | Engine | Cost | Internet | Best For | |--------|------|----------|----------| | **Whisper Local** | Free | No | Long files, best accuracy, 45+ languages | | **Google Speech** | Free | Yes | Quick short clips, real-time results | | **Whisper API** | Paid | Yes | Fast cloud processing, large files | ### 📁 Supported Formats **Audio:** WAV, MP3, FLAC, OGG, M4A, AAC, WMA, OPUS **Video:** MP4, MKV, AVI, MOV, WEBM, FLV (audio auto-extracted) **Output:** TXT, SRT subtitles, WebVTT, JSON ### ⚡ Quick Start #### Via Apify Console 1. Select an **Engine** (Whisper Local recommended) 2. Paste the **Input File URL** (direct download link) 3. Choose **Language** and **Output Format** 4. Click **Start** #### Via API ```bash curl -X POST "https://api.apify.com/v2/acts//runs?token=" \ -H "Content-Type: application/json" \ -d '{ "engine": "whisper_local", "input_file_url": "https://example.com/audio.mp3", "language": "en", "whisper_model": "small", "output_format": "srt" }' ```` ### 📥 Input | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `engine` | string | `whisper_local` | `whisper_local`, `google`, or `whisper_api` | | `input_file_url` | string | — | Direct URL to media file | | `language` | string | `en` | Language code or empty for auto-detect | | `whisper_model` | string | `small` | `tiny`, `base`, `small`, `medium`, `large` | | `openai_api_key` | string | — | OpenAI key (whisper\_api only) | | `output_format` | string | `txt` | `txt`, `srt`, `vtt`, `json` | | `max_file_size_mb` | int | `500` | Max file size limit | | `google_chunk_seconds` | int | `55` | Chunk size for Google engine | ### 📤 Output **Dataset** contains metadata: ```json { "status": "success", "engine": "whisper_local (small)", "language_detected": "en", "input_file": "interview.mp3", "output_url": "https://api.apify.com/.../interview_transcription.srt", "duration_audio_sec": 342.5, "processing_time_sec": 28.3, "character_count": 4521, "segment_count": 87, "text_preview": "First 500 characters of the transcription...", "message": "Transcribed with Whisper 'small' on CPU." } ``` **Key-Value Store** contains: - `interview_transcription.txt/srt/vtt/json` — the output file (downloadable via `output_url`) - `FULL_RESULT` — complete JSON with full text + all segments ### 🌍 Languages (45+) English, Spanish, French, German, Italian, Portuguese, Chinese, Japanese, Korean, Arabic, Hindi, Russian, Turkish, Urdu, Dutch, Polish, Swedish, Danish, Finnish, Norwegian, Greek, Czech, Romanian, Hungarian, Thai, Vietnamese, Indonesian, Malay, Ukrainian, Bulgarian, Croatian, Slovak, Slovenian, Serbian, Hebrew, Bengali, Tamil, Telugu, Malayalam, Kannada, Marathi, Gujarati, Punjabi, Swahili, Afrikaans, Filipino. # Actor input Schema ## `engine` (type: `string`): Which speech recognition engine to use. ## `input_file_url` (type: `string`): Direct download URL to your audio or video file. Supported formats: WAV, MP3, FLAC, OGG, M4A, AAC, MP4, MKV, AVI, MOV, WEBM. ## `language` (type: `string`): Language of the audio. Leave empty for auto-detection (Whisper only). ## `whisper_model` (type: `string`): Model size for Whisper Local engine. Larger = more accurate but slower and more memory. ## `openai_api_key` (type: `string`): Your OpenAI API key. Required only for the Whisper API engine. ## `output_format` (type: `string`): Format of the transcription output file. ## `max_file_size_mb` (type: `integer`): Maximum allowed file size in MB. Files larger than this will be rejected. Default: 500 MB. ## `google_chunk_seconds` (type: `integer`): Google Speech has a ~60s limit per request. Audio is split into chunks of this duration. Only used with Google engine. ## Actor input object example ```json { "engine": "whisper_local", "language": "en", "whisper_model": "small", "output_format": "txt", "max_file_size_mb": 500, "google_chunk_seconds": 55 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("moving_beacon-owner1/my-actor-72").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 = {} # Run the Actor and wait for it to finish run = client.actor("moving_beacon-owner1/my-actor-72").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 '{}' | apify call moving_beacon-owner1/my-actor-72 --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=moving_beacon-owner1/my-actor-72", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Speech-to-Text Converter", "description": "Introducing the Speech-to-Text Converter — Apify Actor! Transform your audio into text effortlessly with our powerful, serverless multi-engine transcription solution on Apify. Experience seamless and accurate transcription like never before!", "version": "0.0", "x-build-id": "xy6QqX8eAPRBty4C0" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/moving_beacon-owner1~my-actor-72/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-moving_beacon-owner1-my-actor-72", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/moving_beacon-owner1~my-actor-72/runs": { "post": { "operationId": "runs-sync-moving_beacon-owner1-my-actor-72", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/moving_beacon-owner1~my-actor-72/run-sync": { "post": { "operationId": "run-sync-moving_beacon-owner1-my-actor-72", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "engine" ], "properties": { "engine": { "title": "Transcription Engine", "enum": [ "whisper_local", "google", "whisper_api" ], "type": "string", "description": "Which speech recognition engine to use.", "default": "whisper_local" }, "input_file_url": { "title": "Input File URL", "type": "string", "description": "Direct download URL to your audio or video file. Supported formats: WAV, MP3, FLAC, OGG, M4A, AAC, MP4, MKV, AVI, MOV, WEBM." }, "language": { "title": "Language", "enum": [ "", "en", "es", "fr", "de", "it", "pt", "zh", "ja", "ko", "ar", "hi", "ru", "tr", "ur", "nl", "pl", "sv", "da", "fi", "no", "el", "cs", "ro", "hu", "th", "vi", "id", "ms", "uk", "bg", "hr", "sk", "sl", "sr", "he", "bn", "ta", "te", "ml", "kn", "mr", "gu", "pa", "sw", "af", "fil" ], "type": "string", "description": "Language of the audio. Leave empty for auto-detection (Whisper only).", "default": "en" }, "whisper_model": { "title": "Whisper Model Size", "enum": [ "tiny", "base", "small", "medium", "large" ], "type": "string", "description": "Model size for Whisper Local engine. Larger = more accurate but slower and more memory.", "default": "small" }, "openai_api_key": { "title": "OpenAI API Key", "type": "string", "description": "Your OpenAI API key. Required only for the Whisper API engine." }, "output_format": { "title": "Output Format", "enum": [ "txt", "srt", "vtt", "json" ], "type": "string", "description": "Format of the transcription output file.", "default": "txt" }, "max_file_size_mb": { "title": "Max File Size (MB)", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Maximum allowed file size in MB. Files larger than this will be rejected. Default: 500 MB.", "default": 500 }, "google_chunk_seconds": { "title": "Google Chunk Duration (seconds)", "minimum": 10, "maximum": 59, "type": "integer", "description": "Google Speech has a ~60s limit per request. Audio is split into chunks of this duration. Only used with Google engine.", "default": 55 } } }, "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 } } } } } } } } } } ```