# Transcribe Voice Memo to Text — Speaker Labels & Timestamps (`sian.agency/transcribe-voice-memo-to-text`) Actor Transcribe iPhone and Android voice memos to text. Speaker labels, word-level timestamps, SRT/VTT. Bulk upload, 99+ languages. Try free. - **URL**: https://apify.com/sian.agency/transcribe-voice-memo-to-text.md - **Developed by:** [SIÁN OÜ](https://apify.com/sian.agency) (community) - **Categories:** Automation, Developer tools, 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 Voice Memo to Text — Speaker Labels & Timestamps [![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 iPhone and Android voice memos to text.** Drop your `.m4a` files into the upload field, get clean transcripts with speaker labels, word-level timestamps, and SRT/VTT subtitles ready for video repurposing. 99+ languages, bulk processing, free tier available. --- ### How to transcribe a voice memo in 4 steps 1. **Upload your voice memo files** — drop `.m4a` (iPhone Voice Memos), `.mp3`, `.wav`, or any common audio format into the **Upload Voice Memo Files** field. You can drag in many at once for bulk transcription. 2. **Pick your options** — auto-detect language or pick from 99+, toggle speaker diarization for multi-speaker recordings, and optionally translate non-English audio to English. 3. **Run the actor** — files process 10 at a time in parallel on the paid tier; bulk batches are usually done in minutes. 4. **Download results** — every file lands in the dataset with the transcript, segment-level + word-level timestamps, speaker labels, and ready-to-use SRT/VTT subtitle strings. Supported formats: M4A, MP3, WAV, FLAC, AAC, OPUS, OGG, MP4, MOV, WebM. Max 1 GB per file on the paid tier. --- ### Example output — voice memo transcript with speaker labels A typical successful transcription returns: ```json { "transcript": "Quick note for the team — the client wants the launch pushed to Q3...", "detected_language": "en", "duration": 42.18, "segments": [ { "id": 0, "text": "Quick note for the team — the client wants the launch pushed to Q3.", "start": 0.20, "end": 4.86, "speaker": "SPEAKER_00", "language": "en", "words": [ { "word": "Quick", "start": 0.20, "end": 0.42, "speaker": "SPEAKER_00" }, { "word": "note", "start": 0.42, "end": 0.68, "speaker": "SPEAKER_00" }, { "word": "for", "start": 0.68, "end": 0.84, "speaker": "SPEAKER_00" } ] } ], "srt": "1\n00:00:00,200 --> 00:00:04,860\nQuick note for the team — the client wants the launch pushed to Q3.", "vtt": "WEBVTT\n\n00:00:00.200 --> 00:00:04.860\nQuick note for the team — the client wants the launch pushed to Q3.", "speakers": ["SPEAKER_00"], "languages": ["en"], "fileSizeMB": 0.31, "success": true } ```` Every result includes the full transcript, segment-level timestamps, word-level timestamps, language detection, voice memo 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. *** ### Speaker diarization Toggle the **Speaker Diarization** input to identify who's speaking in multi-person voice memos — interview-style recordings, family conversations, group brainstorms. Each segment and each word receives a `speaker` label (`SPEAKER_00`, `SPEAKER_01`, …) so you can keep one person's quotes separate from another's. Powered by pyannote-audio, the same model used in production speech-to-text pipelines. Charged per audio second; only billed when enabled. *** ### SRT / VTT export for video repurposing Every transcription returns ready-to-use `srt` and `vtt` subtitle strings. Save the field value as a `.srt` or `.vtt` file and: - Drop it into a video editor to caption a video version of your voice memo (great for short-form social posts) - Use it as a starter caption track for YouTube uploads - Add HTML5 `` accessibility captions to web embeds Set **Timestamp Granularities** to `word` for cue precision down to individual words. *** ### Why voice-memo users choose this actor - ✅ **99+ languages** — automatic detection across English, Spanish, French, Mandarin, Arabic, Portuguese, and 90+ more - 📤 **Direct file upload** — drop `.m4a`, `.mp3`, `.wav` straight from your phone or Mac, no need to host them anywhere first - 🎤 **Speaker diarization** powered by pyannote-audio — separate the recorder from interview guests automatically - ⏱️ **Word-level timestamps** on every transcription — `{word, start, end, speaker}` per word, ready for quote search and clip extraction - 🎬 **SRT *and* VTT subtitles included** on every successful run — perfect for turning a voice memo into a captioned video - 🚀 **Bulk processing** — drop in 10, 50, or 200 files at once; 10× parallel on the paid tier - 💰 **Pay per audio second** — no subscriptions, no minimums; only pay for the audio you actually transcribe *** ### Use cases - 🎓 **Students** — turn lecture and seminar voice memos into searchable study notes; never lose a key concept buried in an hour of audio - 📰 **Journalists** — transcribe phone-recorded interviews on the go; pull attributed quotes with word-level timestamps - 💼 **Professionals dictating notes** — convert post-meeting voice recaps, brainstorms, and quick ideas into shareable text - 🧪 **Qualitative researchers** — preserve participant voice memos with speaker separation for thematic analysis - ✍️ **Writers and creators** — capture voice notes in the wild, edit them as text drafts later - 🎙️ **Interview-style podcasters recording on phones** — get clean, attributed transcripts ready for show notes - 📱 **Anyone using iPhone Voice Memos or Android voice recorders** — the lowest-friction path from spoken word to text *** ### 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 files per run | Unlimited files 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 5-minute voice memo on the paid tier costs approximately **$0.15** (transcription only). *** ### 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-voice-memo-to-text').call({ audioFiles: ['https://example.com/voice-memo.m4a'], 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-voice-memo-to-text').call(run_input={ 'audioFiles': ['https://example.com/voice-memo.m4a'], '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-voice-memo-to-text/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN' \ -H 'Content-Type: application/json' \ -d '{ "audioFiles": ["https://example.com/voice-memo.m4a"], "speakerDiarization": true }' ``` #### n8n / Zapier / Make Wire this actor as a downstream step on any "new voice memo synced" trigger (Dropbox, iCloud, Google Drive). The dataset record returned per item includes `transcript`, `segments[].words[]`, `srt`, and `vtt` — drop them into Notion, Slack, Google Sheets, Obsidian, or your CRM with no transformation step. *** ### FAQ **How accurate is voice memo transcription?** Powered by an industrial speech-to-text pipeline tuned for natural conversation. Accuracy is typically 95–99% on clean iPhone or Android voice recordings, lower on noisy environments or strong accents. Word-level timestamps are returned even when accuracy is imperfect, so you can verify and correct faster than transcribing from scratch. **What audio formats are supported?** M4A (iPhone Voice Memos default), MP3, WAV, FLAC, AAC, OPUS, OGG, MP4, MOV, WebM. Max 50 MB per file on the free tier, 1 GB per file on the paid tier. **Can I transcribe non-English voice memos?** Yes — auto-detection across 99+ languages including Spanish, French, German, Mandarin, Japanese, Portuguese, Arabic, Hindi. 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. **Can I use this in n8n, Zapier, or Make?** Yes. The actor exposes a standard Apify run/dataset API. Use any "trigger → run actor → use dataset items" pattern. The dataset record includes `transcript`, `segments[].words[]`, `srt`, and `vtt` ready to feed into downstream tools. **Do I need to host my voice memos somewhere first?** No. Use the **Upload Voice Memo Files** field to upload directly from your computer or phone. Apify stores the upload in your key-value store and the actor processes it from there. **How long does a transcription take?** A 5-minute voice memo usually finishes in 10–30 seconds. A 60-minute recording takes 1–3 minutes on the paid tier. Bulk batches process 10 files in parallel. *** ### Legal disclaimer Use this actor only on voice memos and audio you have rights to transcribe — your own recordings, content with consent, or properly licensed media. 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; users are responsible for the legal use of transcribed content. *** ### 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 ## `audioFiles` (type: `array`): Upload your voice memo files directly from your phone or computer. iPhone Voice Memos export as `.m4a`; Android voice recorders typically export `.m4a`, `.mp3`, or `.wav`. Just drop them in. **Supported Formats:** M4A, MP3, WAV, FLAC, AAC, OPUS, OGG, MP4, MOV, WebM **Max file size:** 1GB per file You can also paste URLs in the optional **Voice Memo URLs** field below — both lists are processed together. ## `audioUrls` (type: `array`): Optional: add direct audio file URLs (one per line) if your voice memos are already hosted somewhere (Dropbox, Google Drive direct link, your own CDN, etc.). Most users only need the **Upload Voice Memo Files** field above. 🚫 **Social media links (Instagram, TikTok, YouTube Shorts, Facebook) are rejected.** Use the specialized actors linked in the description above. ✅ **Valid:** `https://example.com/voice-memo.m4a`, `https://cdn.example.com/recording.wav` **Supported Formats:** M4A, MP3, WAV, FLAC, AAC, OPUS, OGG, MP4, MOV, WebM ## `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-voice-memo-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-voice-memo-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-voice-memo-to-text --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=sian.agency/transcribe-voice-memo-to-text", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Transcribe Voice Memo to Text — Speaker Labels & Timestamps", "description": "Transcribe iPhone and Android voice memos to text. Speaker labels, word-level timestamps, SRT/VTT. Bulk upload, 99+ languages. Try free.", "version": "1.0", "x-build-id": "v0mP6x3tWM5sbrCaB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/sian.agency~transcribe-voice-memo-to-text/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-sian.agency-transcribe-voice-memo-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/sian.agency~transcribe-voice-memo-to-text/runs": { "post": { "operationId": "runs-sync-sian.agency-transcribe-voice-memo-to-text", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/sian.agency~transcribe-voice-memo-to-text/run-sync": { "post": { "operationId": "run-sync-sian.agency-transcribe-voice-memo-to-text", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "audioFiles": { "title": "Upload Voice Memo Files", "type": "array", "description": "Upload your voice memo files directly from your phone or computer. iPhone Voice Memos export as `.m4a`; Android voice recorders typically export `.m4a`, `.mp3`, or `.wav`. Just drop them in.\n\n**Supported Formats:** M4A, MP3, WAV, FLAC, AAC, OPUS, OGG, MP4, MOV, WebM\n**Max file size:** 1GB per file\n\nYou can also paste URLs in the optional **Voice Memo URLs** field below — both lists are processed together." }, "audioUrls": { "title": "Voice Memo URLs (optional)", "type": "array", "description": "Optional: add direct audio file URLs (one per line) if your voice memos are already hosted somewhere (Dropbox, Google Drive direct link, your own CDN, etc.). Most users only need the **Upload Voice Memo Files** field above.\n\n🚫 **Social media links (Instagram, TikTok, YouTube Shorts, Facebook) are rejected.** Use the specialized actors linked in the description above.\n\n✅ **Valid:** `https://example.com/voice-memo.m4a`, `https://cdn.example.com/recording.wav`\n\n**Supported Formats:** M4A, MP3, WAV, FLAC, AAC, OPUS, OGG, MP4, MOV, WebM", "items": { "type": "string" } }, "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 } } } } } } } } } } ```