# Transcribe Zoom Meeting to Text — Bulk Meeting Transcription (`sian.agency/transcribe-zoom-meeting-to-text`) Actor Transcribe Zoom recordings to text in bulk. Speaker labels for host and participants, word-level timestamps, SRT/VTT export. 99+ languages. Try free. - **URL**: https://apify.com/sian.agency/transcribe-zoom-meeting-to-text.md - **Developed by:** [SIÁN OÜ](https://apify.com/sian.agency) (community) - **Categories:** Automation, Integrations, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $0.15 / 1,000 audio second processeds 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/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 ## Transcribe Zoom Meeting to Text — Bulk Meeting Transcription [![SIÁN Agency Store](https://img.shields.io/badge/Store-SI%C3%81N%20Agency-97cc64)](https://apify.com/sian.agency?fpr=sian) [![Telegram Support](https://img.shields.io/badge/Telegram-Support%20Group-0088cc?logo=telegram)](https://t.me/+vyh1sRE08sAxMGRi) [![Instagram AI Transcript Extractor](https://img.shields.io/badge/Platform-Instagram-E4405F)](https://apify.com/sian.agency/instagram-ai-transcript-extractor?fpr=sian) [![Best TikTok AI Transcript Extractor](https://img.shields.io/badge/Platform-TikTok-25F4EE)](https://apify.com/sian.agency/best-tiktok-ai-transcript-extractor?fpr=sian) [![YouTube Shorts AI Transcript Extractor](https://img.shields.io/badge/Platform-YouTube%20Shorts-FF0000)](https://apify.com/sian.agency/youtube-shorts-ai-transcript-and-metadata-extractor?fpr=sian) [![Facebook AI Transcript Extractor](https://img.shields.io/badge/Platform-Facebook-1877F2)](https://apify.com/sian.agency/facebook-ai-transcript-extractor?fpr=sian) > **Transcribe Zoom recordings to text in bulk.** Plug into n8n, Zapier, or Make to auto-transcribe every cloud recording the moment it lands — no Otter subscription, no manual upload. Speaker labels for host and participants, word-level timestamps, SRT/VTT subtitles, 99+ languages. --- ### How to transcribe a Zoom recording in 4 steps 1. **Drop in Zoom recording URLs** — pull URLs from the Zoom Cloud Recording API (`/v2/users/{userId}/recordings`) and feed them straight into the `audioUrls` field. Or upload local `.mp4`/`.m4a` exports via `audioFiles`. 2. **Pick your options** — auto-detect language, toggle speaker diarization to separate host from participants, optionally translate non-English meetings to English. 3. **Run the actor** — recordings process 10 at a time in parallel on the paid tier; an entire team's weekly recordings can be transcribed in minutes. 4. **Download results** — every recording lands in the dataset with the transcript, segment + word-level timestamps, speaker labels, and ready-to-use SRT/VTT subtitle strings. Supported formats: MP4, MOV, M4A, MP3, WAV, FLAC, AAC, OPUS, OGG, WebM. Max 1 GB per file on the paid tier. --- ### Example output — Zoom meeting transcript with speaker labels ```json { "transcript": "Thanks for joining everyone — let's start with the launch checklist. So Sarah, where are we on the email sequence?...", "detected_language": "en", "duration": 1842.5, "segments": [ { "id": 0, "text": "Thanks for joining everyone — let's start with the launch checklist.", "start": 0.18, "end": 4.92, "speaker": "SPEAKER_00", "language": "en", "words": [ { "word": "Thanks", "start": 0.18, "end": 0.62, "speaker": "SPEAKER_00" } ] }, { "id": 1, "text": "So Sarah, where are we on the email sequence?", "start": 5.40, "end": 8.12, "speaker": "SPEAKER_00", "language": "en", "words": [] } ], "srt": "1\n00:00:00,180 --> 00:00:04,920\nThanks for joining everyone — let's start with the launch checklist.\n\n2\n00:00:05,400 --> 00:00:08,120\nSo Sarah, where are we on the email sequence?", "vtt": "WEBVTT\n\n00:00:00.180 --> 00:00:04.920\nThanks for joining everyone — let's start with the launch checklist.\n\n00:00:05.400 --> 00:00:08.120\nSo Sarah, where are we on the email sequence?", "speakers": ["SPEAKER_00", "SPEAKER_01", "SPEAKER_02"], "languages": ["en"], "fileSizeMB": 84.3, "success": true } ```` Every result includes the full transcript, segment-level timestamps, word-level timestamps, language detection, recording duration in seconds, file size, ready-to-use `srt` and `vtt` subtitle strings, and (when speaker diarization is enabled) speaker labels per segment and per word. *** ### Built for sales, support, and ops teams - 📞 **Sales call coaching** — review every demo, identify objection-handling gaps, share quote-level highlights - 🎧 **Customer support QA** — sample escalations, score CSAT-affecting moments, train new agents - 🗂️ **Meeting archives** — searchable transcripts of every quarterly review, planning meeting, and stakeholder sync - ⚖️ **Compliance review** — tamper-evident transcripts of regulated conversations - 🤝 **Sales hand-off notes** — auto-generate transcripts from discovery calls so AEs and CSMs share the same source of truth The killer combo: **n8n / Zapier trigger on Zoom Cloud Recording → this actor → your Notion/Slack/CRM.** Zero manual steps. *** ### Speaker diarization for host and participants Toggle the **Speaker Diarization** input to separate every speaker in the meeting. Each segment and each word receives a `speaker` label (`SPEAKER_00`, `SPEAKER_01`, …), so you can build clean transcripts where the host's questions and each participant's answers are clearly distinguished. Powered by pyannote-audio. Charged per audio second; only billed when enabled. *** ### SRT / VTT export for internal video archives Every transcription returns ready-to-use `srt` and `vtt` subtitle strings. Save the field value as a `.srt` or `.vtt` file and: - Caption an internal video library (Notion, Confluence, SharePoint, Drive) - Build a searchable training-material archive for new hire onboarding - Add HTML5 `` accessibility captions to embedded recordings Set **Timestamp Granularities** to `word` for cue precision down to individual words. *** ### Why teams choose this Zoom transcriber - ✅ **API-first integration** — built to plug into n8n, Zapier, Make, or your own webhook on the Zoom Cloud Recording event - 🎤 **Host vs participant separation** via pyannote-audio diarization — clean attributed transcripts for sales coaching and QA - ⏱️ **Word-level timestamps** for every word — find any quote in a 90-minute call in seconds - 🎬 **SRT and VTT included** on every successful run — caption internal training videos with no extra step - 🌍 **99+ languages** — global teams, multilingual customers, EU offices all supported - 🇪🇺 **EU-region processing** for GDPR-aligned workflows - 💰 **Pay per audio second** — no Otter subscription, no minimums; only pay for the recordings you actually transcribe - 🚀 **10× parallel** on the paid tier — an entire team's weekly recordings done in minutes, not hours *** ### Use cases - 📞 **Sales teams** auto-transcribing every demo and discovery call for coaching, deal review, and CRM enrichment - 🎧 **Customer support leaders** sampling escalation calls for QA scoring and agent training - 🗂️ **Operations teams** archiving every all-hands, planning meeting, and quarterly review as a searchable text record - ⚖️ **Compliance officers** maintaining tamper-evident transcripts of regulated conversations (finance, healthcare, legal) - 🤝 **Account managers** generating clean handoff notes between SDR → AE → CSM stages - 🌐 **Localization teams** translating multilingual customer calls to English for internal review - 🧪 **Product researchers** transcribing user interviews and usability sessions for thematic coding *** ### Pricing & tiers Pay only for the audio seconds you actually transcribe. No subscriptions, no minimums. | FREE tier | PAID tier | |---|---| | Perfect for testing and small jobs | Built for production volume | | Up to 5 recordings per run | Unlimited recordings per run | | 50 MB max per file | 1 GB max per file | | 200 MB / 20 minutes monthly | Unlimited monthly volume | | 3 concurrent files | 10 concurrent files (10× parallel) | | No credit card required | $0.0005 per audio second | **Optional add-ons** (only billed when enabled): | Feature | Price | |---|---| | Speaker diarization | $0.0001 per audio second | | Translate to English | $0.0003 per audio second | | EU-region processing | $0.0007 per audio second (replaces base $0.0005) | A 60-minute meeting with diarization on the paid tier costs approximately **$2.16** ($1.80 transcription + $0.36 diarization). Compare to per-seat meeting-transcription SaaS pricing. *** ### Integration examples #### JavaScript / Node.js ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' }); const run = await client.actor('sian.agency/transcribe-zoom-meeting-to-text').call({ audioUrls: ['https://your-org.zoom.us/recording/share/...'], speakerDiarization: true, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items[0].transcript); console.log(items[0].srt); ``` #### Python ```python from apify_client import ApifyClient client = ApifyClient('YOUR_APIFY_TOKEN') run = client.actor('sian.agency/transcribe-zoom-meeting-to-text').call(run_input={ 'audioUrls': ['https://your-org.zoom.us/recording/share/...'], 'speakerDiarization': True, }) items = client.dataset(run['defaultDatasetId']).list_items().items print(items[0]['transcript']) print(items[0]['vtt']) ``` #### cURL ```bash curl -X POST 'https://api.apify.com/v2/acts/sian.agency~transcribe-zoom-meeting-to-text/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN' \ -H 'Content-Type: application/json' \ -d '{ "audioUrls": ["https://your-org.zoom.us/recording/share/..."], "speakerDiarization": true }' ``` #### n8n / Zapier / Make Wire this actor onto the **Zoom Cloud Recording Completed** webhook. Pass the recording URL into `audioUrls`, capture `transcript`, `segments[].words[]`, `srt`, and `vtt` from the dataset, then route to Notion (meeting notes), Slack (digest), Salesforce/HubSpot (call attached to deal), or Google Sheets (compliance log) — no transformation step needed. *** ### FAQ **How accurate is Zoom meeting transcription?** Powered by an industrial speech-to-text pipeline tuned for natural conversation. Accuracy is typically 95–99% on Zoom audio with clean microphones, lower on speakerphone or noisy environments. Word-level timestamps are returned even when accuracy is imperfect, so you can verify and correct quote attributions quickly. **What audio and video formats are supported?** MP4, MOV, M4A, MP3, WAV, FLAC, AAC, OPUS, OGG, WebM. Zoom Cloud Recordings export as MP4 or M4A, both work directly. Max 50 MB per file on the free tier, 1 GB on the paid tier. **Can I transcribe non-English meetings?** Yes — auto-detection across 99+ languages including Spanish, French, German, Mandarin, Japanese, Portuguese, Arabic, Hindi, and many more. Toggle **Translate to English** to receive an English transcript alongside the timestamps. **Is speaker diarization included?** Yes, opt-in via the **Speaker Diarization** toggle. Each segment and word gets labeled `SPEAKER_00`, `SPEAKER_01`, etc. Powered by pyannote-audio. Billed at $0.0001 per audio second only when enabled. **How does pricing work?** Pay-per-audio-second. The free tier covers small jobs and testing without a credit card. The paid tier is $0.0005 per second of audio, plus optional add-ons for diarization, translation, and EU processing. No subscriptions, no per-seat fees. **Can I integrate this with n8n, Zapier, or Make?** Yes — that's the primary use case. The actor exposes a standard Apify run/dataset API. Trigger on the Zoom Cloud Recording Completed event, run the actor, route the dataset record into your downstream tools. **Does this work with Zoom cloud recordings or only local files?** Both. Pass cloud recording URLs from the Zoom API directly, or upload local MP4/M4A exports. The actor downloads and transcribes either source. **What about Microsoft Teams, Google Meet, or Webex recordings?** Yes. Despite the niche name, this actor accepts any meeting recording URL or file from any platform. Zoom is just the most common source. *** ### Legal disclaimer Use this actor only on meeting recordings you have rights to transcribe — your own meetings, recordings with all participants' consent, or properly licensed content. Some jurisdictions require all-party consent for recording calls; you are responsible for compliance. The actor does not retain audio or transcripts beyond the run's lifetime. **EU-region processing** is available via the EU Processing toggle for GDPR-aligned workflows. SIÁN Agency provides this actor as-is. *** ### Support [![Telegram Support](https://img.shields.io/badge/Telegram-Support%20Group-0088cc?logo=telegram)](https://t.me/+vyh1sRE08sAxMGRi) [![Email](https://img.shields.io/badge/Email-support%40sian--agency.online-EA4335)](mailto:support@sian-agency.online) [![SIÁN Agency](https://img.shields.io/badge/Store-SI%C3%81N%20Agency-97cc64)](https://apify.com/sian.agency?fpr=sian) Join the Telegram support group, email **support@sian-agency.online**, or open an issue on the [SIÁN Agency Apify Store](https://apify.com/sian.agency?fpr=sian) page. *** ### More from SIÁN Agency Platform-specific scrapers + transcribers: - [Instagram AI Transcript Extractor](https://apify.com/sian.agency/instagram-ai-transcript-extractor?fpr=sian) - [Best TikTok AI Transcript Extractor](https://apify.com/sian.agency/best-tiktok-ai-transcript-extractor?fpr=sian) - [YouTube Shorts AI Transcript Extractor](https://apify.com/sian.agency/youtube-shorts-ai-transcript-and-metadata-extractor?fpr=sian) - [Facebook AI Transcript Extractor](https://apify.com/sian.agency/facebook-ai-transcript-extractor?fpr=sian) Browse the full [SIÁN Agency Apify Store](https://apify.com/sian.agency?fpr=sian) for all available actors. *** # Actor input Schema ## `audioUrls` (type: `array`): Add Zoom cloud recording URLs or direct MP4/M4A links (one per line). Pull URLs from Zoom's `/v2/users/{userId}/recordings` API and feed them straight in via n8n/Zapier/Make. 🚫 **Social media links are rejected** — use the specialized actors linked in the description. ✅ **Valid:** direct MP4/MP3/M4A URLs from Zoom cloud recordings, your S3, or any CDN. **Supported Formats:** MP3, WAV, FLAC, AAC, OPUS, OGG, M4A, MP4, MPEG, MOV, WebM **Max file size:** 1GB ## `audioFiles` (type: `array`): Upload Zoom recording files directly (e.g. exported `.mp4` or `.m4a` audio-only versions). Useful when you've already downloaded the meeting recording locally. **Supported Formats:** MP4, MOV, M4A, MP3, WAV, FLAC, AAC, OPUS, OGG, WebM **Max file size:** 1GB per file Mix uploads with **Zoom Recording URLs** above — both lists are processed together. ## `language` (type: `string`): Language spoken in the audio. Leave as 'Auto-detect' for automatic language detection. ## `translateToEnglish` (type: `boolean`): Translate non-English audio into English. Additional charges apply for translation service. ## `useEuServers` (type: `boolean`): Process data within the EU for GDPR compliance. Higher processing rates apply for EU servers. ## `speakerDiarization` (type: `boolean`): Identify and label different speakers in the audio (e.g., SPEAKER\_00, SPEAKER\_01). Perfect for meetings, interviews, and multi-person conversations. Additional charges apply. ## Actor input object example ```json { "audioUrls": [ "https://raw.githubusercontent.com/rara-cyber/podcast-test-file/main/KchSfOdwCJE-56eb7ccd6dc030fa3cc280ab26925c4e234.opus" ], "language": "auto", "translateToEnglish": false, "useEuServers": false, "speakerDiarization": false } ``` # Actor output Schema ## `audioTranscripts` (type: `string`): Processed transcription data with timestamps, speaker diarization, detected languages, and file metadata ## `scrapingSummary` (type: `string`): HTML summary showing successful and failed transcriptions with key metrics # 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 = { "audioUrls": [ "https://raw.githubusercontent.com/rara-cyber/podcast-test-file/main/KchSfOdwCJE-56eb7ccd6dc030fa3cc280ab26925c4e234.opus" ] }; // Run the Actor and wait for it to finish const run = await client.actor("sian.agency/transcribe-zoom-meeting-to-text").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 = { "audioUrls": ["https://raw.githubusercontent.com/rara-cyber/podcast-test-file/main/KchSfOdwCJE-56eb7ccd6dc030fa3cc280ab26925c4e234.opus"] } # Run the Actor and wait for it to finish run = client.actor("sian.agency/transcribe-zoom-meeting-to-text").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 '{ "audioUrls": [ "https://raw.githubusercontent.com/rara-cyber/podcast-test-file/main/KchSfOdwCJE-56eb7ccd6dc030fa3cc280ab26925c4e234.opus" ] }' | apify call sian.agency/transcribe-zoom-meeting-to-text --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=sian.agency/transcribe-zoom-meeting-to-text", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Transcribe Zoom Meeting to Text — Bulk Meeting Transcription", "description": "Transcribe Zoom recordings to text in bulk. Speaker labels for host and participants, word-level timestamps, SRT/VTT export. 99+ languages. Try free.", "version": "1.0", "x-build-id": "ajnaz5FIHnzrRIcBO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/sian.agency~transcribe-zoom-meeting-to-text/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-sian.agency-transcribe-zoom-meeting-to-text", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/sian.agency~transcribe-zoom-meeting-to-text/runs": { "post": { "operationId": "runs-sync-sian.agency-transcribe-zoom-meeting-to-text", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/sian.agency~transcribe-zoom-meeting-to-text/run-sync": { "post": { "operationId": "run-sync-sian.agency-transcribe-zoom-meeting-to-text", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "audioUrls": { "title": "Zoom Recording URLs", "type": "array", "description": "Add Zoom cloud recording URLs or direct MP4/M4A links (one per line). Pull URLs from Zoom's `/v2/users/{userId}/recordings` API and feed them straight in via n8n/Zapier/Make.\n\n🚫 **Social media links are rejected** — use the specialized actors linked in the description.\n\n✅ **Valid:** direct MP4/MP3/M4A URLs from Zoom cloud recordings, your S3, or any CDN.\n\n**Supported Formats:** MP3, WAV, FLAC, AAC, OPUS, OGG, M4A, MP4, MPEG, MOV, WebM\n**Max file size:** 1GB", "items": { "type": "string" } }, "audioFiles": { "title": "Upload Meeting Recording Files", "type": "array", "description": "Upload Zoom recording files directly (e.g. exported `.mp4` or `.m4a` audio-only versions). Useful when you've already downloaded the meeting recording locally.\n\n**Supported Formats:** MP4, MOV, M4A, MP3, WAV, FLAC, AAC, OPUS, OGG, WebM\n**Max file size:** 1GB per file\n\nMix uploads with **Zoom Recording URLs** above — both lists are processed together." }, "language": { "title": "Language (Optional)", "enum": [ "auto", "english", "chinese", "german", "spanish", "russian", "korean", "french", "japanese", "portuguese", "turkish", "polish", "catalan", "dutch", "arabic", "swedish", "italian", "indonesian", "hindi", "finnish", "vietnamese", "hebrew", "ukrainian", "greek", "malay", "czech", "romanian", "danish", "hungarian", "tamil", "norwegian", "thai", "urdu", "croatian", "bulgarian", "lithuanian", "latin", "maori", "malayalam", "welsh", "slovak", "telugu", "persian", "latvian", "bengali", "serbian", "azerbaijani", "slovenian", "kannada", "estonian", "macedonian", "breton", "basque", "icelandic", "armenian", "nepali", "mongolian", "bosnian", "kazakh", "albanian", "swahili", "galician", "marathi", "punjabi", "sinhala", "khmer", "shona", "yoruba", "somali", "afrikaans", "occitan", "georgian", "belarusian", "tajik", "sindhi", "gujarati", "amharic", "yiddish", "lao", "uzbek", "faroese", "haitian creole", "pashto", "turkmen", "nynorsk", "maltese", "sanskrit", "luxembourgish", "myanmar", "tibetan", "tagalog", "malagasy", "assamese", "tatar", "hawaiian", "lingala", "hausa", "bashkir", "javanese", "sundanese", "cantonese" ], "type": "string", "description": "Language spoken in the audio. Leave as 'Auto-detect' for automatic language detection.", "default": "auto" }, "translateToEnglish": { "title": "🔄 Translate to English (PAID)", "type": "boolean", "description": "Translate non-English audio into English. Additional charges apply for translation service.", "default": false }, "useEuServers": { "title": "🇪🇺 EU-Based Processing (PAID)", "type": "boolean", "description": "Process data within the EU for GDPR compliance. Higher processing rates apply for EU servers.", "default": false }, "speakerDiarization": { "title": "🎤 Speaker Diarization (PAID)", "type": "boolean", "description": "Identify and label different speakers in the audio (e.g., SPEAKER_00, SPEAKER_01). Perfect for meetings, interviews, and multi-person conversations. Additional charges apply.", "default": false } } }, "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 } } } } } } } } } } ```