# Audio Transcriber - Speech to Text (`parseforge/audio-transcriber`) Actor Transcribes audio files from URL or upload into text with timestamps, language, and confidence. Supports WAV, MP3, AIFF, AAC, OGG, FLAC, and more. - **URL**: https://apify.com/parseforge/audio-transcriber.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** AI, Developer tools, Other - **Stats:** 156 total users, 8 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $140.00 / 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/actors/running/actors-in-store.md#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 ![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true) ## 🎤 Audio Transcriber > 🚀 **Convert speech to text in seconds.** Upload audio files and get accurate transcriptions. Supports multiple languages. No coding, no transcription accounts required.
Pull structured records from Audio Transcriber — clean fields ready as CSV, JSON, JSONL, Excel, or XML for downstream pipelines.
##### Copy to your AI assistant Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor. ``` parseforge/audio-transcriber on Apify. Call: ApifyClient("TOKEN").actor("parseforge/audio-transcriber").call(run_input={...}), then client.dataset(run["defaultDatasetId"]).list_items().items for results. Key inputs: audioFileUrl (array, default ["https://upload.wikimedia.org/wikipedia/commons/e/e9/Mia_Lo),%20language%20(string,%20default"en"). Full actor spec: fetch build via GET https://api.apify.com/v2/acts/parseforge~audio-transcriber (Bearer TOKEN). Get token: https://console.apify.com/account/integrations ``` Convert audio recordings to clean, structured text without juggling transcription tools or paying per-minute fees. The Actor accepts one or more audio file URLs (MP3, WAV, AIFF, AAC, OGG, FLAC, M4A and similar), runs each through an AI transcription pipeline, and returns the full transcript in your dataset. Built for podcasters, journalists, researchers, meeting teams, and any workflow that turns spoken audio into searchable text. The output is a structured record per file: a back-reference to the input URL, the full transcription, a timestamp, and an error field if something fails. Hand the dataset off to your editor, summarizer, or downstream pipeline. Every run is processed live, so there is no upload cap or vendor lock-in. | 👥 Built for | 🎯 Primary use cases | |---|---| | Podcasters and creators | Generate episode transcripts and show notes | | Journalists and researchers | Convert recorded interviews into searchable text | | Meeting and operations teams | Auto-transcribe Zoom and Teams recordings | | Content marketing | Repurpose webinars into blog posts and shorts | | Accessibility teams | Produce captions and transcripts for compliance | | Localization workflows | Get base text ready for translation pipelines | ### 📋 What the Audio Transcriber does - 🎧 **Audio input.** Accepts one or more audio file URLs in common formats (MP3, WAV, AIFF, AAC, OGG, FLAC, M4A). - 🌐 **Language hint.** Pass an ISO 639-1 language code (e.g. en, es, fr, pt) to bias the model toward the right phonetics and vocabulary. - 📝 **Full transcription.** Returns the complete text of each audio file as a single string per record. - 🆔 **Back-reference.** Every record includes the original audio URL so you can rejoin transcripts to source files. - ⏱️ **Timestamp.** Every record carries a timestamp field with the time the transcript was produced. - ❗ **Per-file error reporting.** If a file fails (corrupt, unsupported, unreadable URL) the error appears on its own record without breaking the run. The actor processes uploads in the order you provide them. Records stream into the dataset as transcripts complete, so you can start consuming results before the run is fully finished. Manual transcription typically takes 4-6 hours per hour of audio; this Actor returns the same text in minutes. > 💡 **Why it matters:** spoken audio is everywhere (podcasts, interviews, meetings) but most data tooling is text-first. A reliable speech-to-text step unlocks search, summarization, translation, and analytics workflows that would otherwise be impossible. ### 📊 Data fields Each record includes: `audioReference`, `timestamp`, `transcription`. All 3 field names come from a real production run, so what you see here is what lands in your dataset. > ⚠️ **Good to Know:** the audio URL must be publicly reachable. If your file lives in a private bucket, generate a signed URL valid for the run's duration before passing it in. ### 🚀 How to use 1. 📝 **Sign up.** [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) (takes 2 minutes). 2. 🌐 **Open the Actor.** Go to the Audio Transcriber page on the Apify Store. 3. 🎯 **Add your audio.** Paste one or more audio URLs into audioFileUrl and (optionally) set language. 4. 🚀 **Run it.** Click **Start** and let the Actor transcribe each file. 5. 📥 **Download.** Grab your results in the **Dataset** tab as CSV, Excel, JSON, or XML. > ⏱️ Total time from signup to first transcript: **3-5 minutes** for a short clip. ### 🔗 Recommended Actors - [**🎬 YouTube AI Transcriber**](https://apify.com/parseforge/youtube-ai-transcriber) - Transcribe YouTube videos via URL with full metadata - [**🖼️ Auto Video Thumbnail Generator**](https://apify.com/parseforge/auto-video-thumbnail-generator) - Auto-generate thumbnails from video uploads - [**📰 Article Extractor**](https://apify.com/parseforge/article-extractor) - Extract clean article text from any URL - [**📄 PDF to JSON Parser**](https://apify.com/parseforge/pdf-to-json-parser) - Convert PDFs into structured JSON - [**🔍 RAG Web Browser**](https://apify.com/parseforge/rag-web-browser) - Fetch clean text for AI retrieval pipelines > 💡 **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge) for more reference-data scrapers. > ⚠️ **Disclaimer.** This Actor is an independent tool. The scraper accesses only audio you supply by URL and is intended for legitimate research, productivity, and content workflows. Users are responsible for ensuring they hold the rights to transcribe the audio they submit and for compliance with copyright, privacy, and consent laws in their jurisdiction. ### 🆘 Need Help? If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our [contact form](https://tally.so/r/BzdKgA) or write to parseforge@protonmail.com. We also take on paid custom data projects. For faster answers, join our [Discord](https://parseforge.co/discord). It's the best place to get support and suggest new actors. # Actor input Schema ## `audioFileUrl` (type: `array`): URLs of the audio files to transcribe. ## `language` (type: `string`): ISO 639-1 language code (e.g., 'en', 'es', 'fr', 'pt') to guide the transcription model toward the right pronunciation and terms. ## Actor input object example ```json { "audioFileUrl": [ "https://upload.wikimedia.org/wikipedia/commons/e/e9/Mia_Love_speaks_in_opposition_to_the_Joint_Comprehensive_Plan_of_Action.ogg" ], "language": "en" } ``` # Actor output Schema ## `transcriptions` (type: `string`): Complete dataset with all transcriptions including audio reference, transcription text, and timestamp ## `overview` (type: `string`): Overview view of transcriptions with key fields displayed in a table format # 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 = { "audioFileUrl": [ "https://upload.wikimedia.org/wikipedia/commons/e/e9/Mia_Love_speaks_in_opposition_to_the_Joint_Comprehensive_Plan_of_Action.ogg" ], "language": "en" }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/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 = { "audioFileUrl": ["https://upload.wikimedia.org/wikipedia/commons/e/e9/Mia_Love_speaks_in_opposition_to_the_Joint_Comprehensive_Plan_of_Action.ogg"], "language": "en", } # Run the Actor and wait for it to finish run = client.actor("parseforge/audio-transcriber").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "audioFileUrl": [ "https://upload.wikimedia.org/wikipedia/commons/e/e9/Mia_Love_speaks_in_opposition_to_the_Joint_Comprehensive_Plan_of_Action.ogg" ], "language": "en" }' | apify call parseforge/audio-transcriber --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,parseforge/audio-transcriber" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/MP9HBCNknKhgX1yhk/builds/i3ONVssfyHeTExF4k/openapi.json