# Audio Transcriber — Speech to Text (Whisper) (`viralanalyzer/audio-transcriber`) Actor Transcribe audio to text with Whisper running locally — no API key. Give any media URL (podcast, TikTok, Instagram, YouTube, or a direct audio file) and get text, timestamped segments, SRT subtitles and auto-detected language. Pay per minute transcribed. - **URL**: https://apify.com/viralanalyzer/audio-transcriber.md - **Developed by:** [viralanalyzer](https://apify.com/viralanalyzer) (community) - **Categories:** AI, Videos - **Stats:** 3 total users, 2 monthly users, 78.6% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $20.00 / 1,000 minute of audio transcribeds 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 ## 🎧 Audio Transcriber — Speech to Text (Whisper) for Podcasts, Social & Uploads > **$0.02 per minute transcribed** · 🔒 no API key needed · 🌍 any language (auto-detect) · 📝 text + SRT + timestamps > 🔗 [View on Apify Store](https://apify.com/viralanalyzer/audio-transcriber) · 🇺🇸 English · [🇧🇷 Português](#-português) Transcribe **audio to text** using OpenAI **Whisper running locally inside the Actor** (faster-whisper) — **no external API, no key, no rate limits**. Just give any media URL — a podcast, TikTok, Instagram, YouTube, SoundCloud, or a direct link to an audio file — and get accurate **text, timestamped segments, SRT subtitles and auto-detected language**. Audio is extracted automatically from video links too. **Who it's for:** podcasters & content teams, journalists, researchers, accessibility/SEO teams, and developers building search or summarization on top of spoken audio. ▶️ Click **Try for free** — your first run returns a real transcript in seconds. ### ✨ Features - 🎯 **Real Whisper transcription** (not just captions) — works on audio that has no subtitles. - 🌍 **99+ languages**, auto-detected (or force one with the `language` field). - 🔗 **Any source** — social networks, podcast hosts, or a direct audio-file link (mp3/wav/m4a/…). - 📝 **Rich output** — full text, timestamped segments, ready-to-use **SRT**, word count, language. - 🔒 **Self-contained** — Whisper runs in the container; you never need an API key. - 💸 **Fair pricing** — pay per minute of audio actually transcribed. ### 📥 Input | Field | Type | Required | Description | |---|---|---|---| | `mediaUrls` | array | ✅ | Audio/media URLs (social/podcast link or direct audio file) | | `language` | string | ❌ | ISO code (`en`, `pt`, `es`…). Empty = auto-detect | | `model` | string | ❌ | `tiny` \| `base` (default) \| `small` — speed vs. accuracy | | `maxMinutesPerItem` | integer | ❌ | Safety cap on minutes per URL (default 120) | | `proxyConfiguration` | object | ❌ | Datacenter by default; use RESIDENTIAL if a network blocks the download | ### 📤 Output (per item) ```json { "url": "https://…", "title": "Episode 12 — …", "language": "en", "durationSeconds": 612.4, "billedMinutes": 11, "text": "Full transcript text …", "segments": [{ "start": 0.0, "end": 4.2, "text": "…" }], "srt": "1\n00:00:00,000 --> 00:00:04,200\n…", "wordCount": 1840 } ```` ### 🎯 Use cases - Turn podcasts/interviews into searchable, quotable text. - Generate SRT subtitles for social clips. - Feed spoken audio into summarization / RAG / analytics. - Accessibility transcripts for compliance. ### ❓ FAQ **Q: Do I need an API key (OpenAI, etc.)?** A: No. Whisper runs inside the Actor — you only provide URLs. **Q: Which sources work?** A: Anything yt-dlp supports (1800+ sites) plus direct audio-file links. If a network blocks the download, enable RESIDENTIAL proxy. **Q: How is it billed?** A: **$0.02 per minute** of audio transcribed (rounded up per item). A 10-minute podcast = $0.20. **Q: What about accuracy?** A: `base` is a good default; switch to `small` for higher accuracy on tough audio. ### 💰 Pricing **Pay-per-event: $0.02 per minute transcribed.** No platform-usage charges — a fixed price per minute of real audio. Examples: 5 min = $0.10 · 30 min = $0.60 · 60 min = $1.20. ### 🔗 Related actors - [Video Transcriber](https://apify.com/viralanalyzer/video-transcriber) — transcribe video from any network. - [YouTube Fast Scraper](https://apify.com/viralanalyzer/youtube-fast-scraper) — metadata + captions. ### 📝 Changelog - **v1.0** — local Whisper (faster-whisper) transcription; text + segments + SRT; per-minute pricing. *** ## 🇧🇷 Português > **$0.02 por minuto transcrito** · 🔒 sem chave de API · 🌍 qualquer idioma (detecção automática) · 📝 texto + SRT + timestamps > [🇺🇸 English](#-audio-transcriber--speech-to-text-whisper-for-podcasts-social--uploads) · 🇧🇷 Português Transcreva **áudio em texto** com o **Whisper rodando localmente no Actor** (faster-whisper) — **sem API externa, sem chave, sem rate limit**. Passe qualquer URL de mídia — podcast, TikTok, Instagram, YouTube, SoundCloud ou um link direto de arquivo de áudio — e receba **texto, segmentos com timestamps, legendas SRT e idioma detectado**. O áudio é extraído automaticamente também de links de vídeo. **Para quem é:** podcasters e times de conteúdo, jornalistas, pesquisadores, times de acessibilidade/SEO e desenvolvedores que constroem busca ou resumo sobre áudio falado. ▶️ Clique em **Testar grátis** — sua primeira execução retorna uma transcrição real em segundos. ### ✨ Recursos - 🎯 **Transcrição Whisper real** (não só legendas) — funciona em áudio sem legendas. - 🌍 **99+ idiomas**, detectados automaticamente (ou force com `language`). - 🔗 **Qualquer origem** — redes sociais, hosts de podcast ou link direto de arquivo. - 📝 **Saída rica** — texto completo, segmentos com tempo, **SRT** pronto, contagem de palavras, idioma. - 🔒 **Autossuficiente** — o Whisper roda no container; você nunca precisa de chave de API. - 💸 **Preço justo** — pague por minuto de áudio realmente transcrito. ### 💰 Preço **Pay-per-event: $0.02 por minuto transcrito.** Sem cobrança de uso de plataforma — preço fixo por minuto de áudio real. Exemplos: 5 min = $0.10 · 30 min = $0.60 · 60 min = $1.20. ### ❓ FAQ **P: Preciso de chave de API?** R: Não. O Whisper roda dentro do Actor — você só fornece URLs. **P: Como é cobrado?** R: **$0.02 por minuto** de áudio transcrito (arredondado por item). Um podcast de 10 min = $0.20. ### 📝 Changelog - **v1.0** — transcrição local com Whisper (faster-whisper); texto + segmentos + SRT; preço por minuto. # Actor input Schema ## `mediaUrls` (type: `array`): Audio/media URLs to transcribe — a podcast/social/video link (audio is extracted automatically) or a direct link to an audio file (mp3, wav, m4a, ...). ## `language` (type: `string`): ISO code (e.g. 'en', 'pt', 'es'). Leave empty to auto-detect. ## `model` (type: `string`): Accuracy vs. speed. 'small' (default, more accurate), 'base' (faster) or 'tiny' (fastest). Larger models cost a bit more compute time. ## `maxMinutesPerItem` (type: `integer`): Safety cap on how many minutes of audio to transcribe per URL. ## `youtubeCookies` (type: `string`): Paste the contents of a Netscape cookies.txt exported from a logged-in YouTube session to reliably download YouTube (avoids the 'Sign in to confirm you're not a bot' gate). Leave empty for other networks / direct files. ## `proxyConfiguration` (type: `object`): Residential proxy by default — social networks (YouTube/TikTok/Instagram) block datacenter IPs when downloading media. Keep RESIDENTIAL unless your source is a plain audio file that accepts datacenter. ## Actor input object example ```json { "mediaUrls": [ "https://github.com/openai/whisper/raw/main/tests/jfk.flac" ], "language": "", "model": "small", "maxMinutesPerItem": 120, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (type: `string`): Dataset with one transcript per input URL (text, segments, SRT, language). # 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 = { "mediaUrls": [ "https://github.com/openai/whisper/raw/main/tests/jfk.flac" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("viralanalyzer/audio-transcriber").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 = { "mediaUrls": ["https://github.com/openai/whisper/raw/main/tests/jfk.flac"], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("viralanalyzer/audio-transcriber").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 '{ "mediaUrls": [ "https://github.com/openai/whisper/raw/main/tests/jfk.flac" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call viralanalyzer/audio-transcriber --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=viralanalyzer/audio-transcriber", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Audio Transcriber — Speech to Text (Whisper)", "description": "Transcribe audio to text with Whisper running locally — no API key. Give any media URL (podcast, TikTok, Instagram, YouTube, or a direct audio file) and get text, timestamped segments, SRT subtitles and auto-detected language. Pay per minute transcribed.", "version": "1.0", "x-build-id": "5E9Z6TQFSTQd1IYf6" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/viralanalyzer~audio-transcriber/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-viralanalyzer-audio-transcriber", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/viralanalyzer~audio-transcriber/runs": { "post": { "operationId": "runs-sync-viralanalyzer-audio-transcriber", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/viralanalyzer~audio-transcriber/run-sync": { "post": { "operationId": "run-sync-viralanalyzer-audio-transcriber", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mediaUrls" ], "properties": { "mediaUrls": { "title": "Media URLs", "minItems": 1, "maxItems": 50, "type": "array", "description": "Audio/media URLs to transcribe — a podcast/social/video link (audio is extracted automatically) or a direct link to an audio file (mp3, wav, m4a, ...).", "items": { "type": "string" } }, "language": { "title": "Language (optional)", "type": "string", "description": "ISO code (e.g. 'en', 'pt', 'es'). Leave empty to auto-detect.", "default": "" }, "model": { "title": "Whisper model", "enum": [ "tiny", "base", "small" ], "type": "string", "description": "Accuracy vs. speed. 'small' (default, more accurate), 'base' (faster) or 'tiny' (fastest). Larger models cost a bit more compute time.", "default": "small" }, "maxMinutesPerItem": { "title": "Max minutes per item", "minimum": 1, "maximum": 600, "type": "integer", "description": "Safety cap on how many minutes of audio to transcribe per URL.", "default": 120 }, "youtubeCookies": { "title": "YouTube cookies (optional)", "type": "string", "description": "Paste the contents of a Netscape cookies.txt exported from a logged-in YouTube session to reliably download YouTube (avoids the 'Sign in to confirm you're not a bot' gate). Leave empty for other networks / direct files." }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Residential proxy by default — social networks (YouTube/TikTok/Instagram) block datacenter IPs when downloading media. Keep RESIDENTIAL unless your source is a plain audio file that accepts datacenter.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```