AWS Transcribe

· پراستفاده‌ترین #252

Turn every spoken word into structured data — automatically

ارتباطاتتحلیل دادهDeveloperAIاتوماسیون

AWS Transcribe converts audio and video speech into accurate text using machine learning models trained for general, medical, and call-centre domains. Connect it to Actionist and your agents can submit batch transcription jobs, poll for completion, apply custom vocabularies and PII redaction filters, and route the finished transcript to HubSpot, Notion, or Google Sheets — all without a human touching the AWS console. From support call QA to physician dictation to live event captions, every spoken word becomes structured, searchable, actionable data.

میانگین زمان صرفه‌جویی‌شده
10 ساعت
برای هر نفر · در هر ماه
تقریبا 1 روز کاری برگشتی

کار دستی را حذف می‌کند. Agents eliminate the manual cycle of uploading audio files, watching the AWS console for job completion, downloading transcripts, and reformatting them for downstream tools.

زمان‌بندی

عامل AWS Transcribe شما چه چیزهایی را خودکار اجرا می‌کند

یک هفته کارهای زمان‌بندی‌شده که عامل Actionist از طرف شما اجرا می‌کند.

28کارهای زمان‌بندی‌شده
7عامل‌های فعال
24/7همیشه روشن
عامل‌ها
چهارشنبهجمعه
چهارشنبه
پنجشنبه
جمعه
7a
8a
9a
10a
11a
12p
1p
2p
3p
4p
5p
6p
گردش‌کارهای چنداپلیکیشنی

AWS Transcribe × همه اپلیکیشن‌های دیگر شما

اتوماسیون‌های سرتاسری که چند اپلیکیشن را به هم وصل می‌کنند؛ هرکدام یک خروجی واقعی کسب‌وکار.

6گردش‌کارها
9اپلیکیشن‌های درگیر
حدود 45 ساعتصرفه‌جویی در هفته
6نقش‌های پوشش‌داده‌شده
برای موفقیت مشتری
ویژه4 اپلیکیشن

Support call transcript to HubSpot in 5 minutes

When a customer support call recording arrives in your S3 bucket, the agent submits it to AWS Transcribe with speaker labels and call analytics enabled. The moment the job completes, it extracts the customer's stated issue, sentiment arc, and any compliance categories matched — then writes a structured note to the HubSpot contact record and books a follow-up in Google Calendar if negative sentiment is detected in the final two minutes. Support managers see every call summarised before the rep finishes their wrap-up.

حدود 15 ساعت

زمانی که تیم شما هر هفته و به‌صورت خودکار پس می‌گیرد

جریان کار
تریگر·When a new call recording is detected in the S3 ingest bucket
نتیجه
Start call analytics transcription jobPost structured call summary to #support-qaBook follow-up if negative sentiment detected
برد اصلی
صرفه‌جویی در هر اجرا
18 دقیقه
اجرا در هفته
~50×
Every call scored, zero manual replays
اجرا توسطCustomer Support Agent
بازگشت سرمایه

صرفه‌جویی

چیزی که تیم شما پس می‌گیرد: کارهای دستی‌ای که حذف می‌شوند و ارزشی که ایجاد می‌شود.

بدون Actionist

کاری که امروز دستی انجام می‌دهید

با Actionist

کاری که عامل شما برایتان اجرا می‌کند

  • Sales
    18 دقیقه در هفته
    Manual call transcript review

    Sales ops downloads call recordings, uses a consumer tool to transcribe each one, then copy-pastes excerpts into HubSpot notes — 18 minutes per rep per week.

    عامل Sales
    ۰ دقیقه
    Agent transcribes and summarises calls

    The agent submits each completed call to AWS Transcribe, extracts action items from the transcript, and writes a structured HubSpot note before the rep ends their wrap-up.

  • Marketing
    13 دقیقه در هفته
    Podcast episode manual transcription

    Content team uploads audio to a paid transcription service, waits up to an hour, then edits the output for accuracy — 13 minutes of overhead per episode.

    عامل Marketing
    ۰ دقیقه
    Batch transcription on upload

    The agent detects new episode uploads and creates AWS Transcribe batch jobs with the show's custom vocabulary; clean transcripts are in Notion before the next episode slot.

  • Customer Support
    18 دقیقه در هفته
    Call replay for QA scoring

    QA leads listen back to support calls in real time, pause to type scores, and manually enter results into the quality dashboard — 18 minutes per call reviewed.

    عامل Customer Support
    ۰ دقیقه
    Transcript-driven QA automation

    The agent transcribes every call and maps sentiment and keyword categories to the QA rubric automatically; scored cards appear in the dashboard without a human replay.

  • Human Resources
    7 دقیقه در هفته
    Interview recording summary

    Recruiters listen to recorded interviews, take manual notes on candidate responses, and consolidate them before debrief — 7 minutes of typing per interview.

    عامل Human Resources
    ۰ دقیقه
    Agent-generated interview summaries

    The agent transcribes each interview recording and structures key candidate responses by competency into a Notion table — recruiters arrive at debrief with a clean comparison grid.

  • Finance
    13 دقیقه در هفته
    Earnings call notes from replay

    Finance analysts replay earnings call recordings and type verbatim quotes into their models — 13 minutes per call to capture relevant figures and guidance.

    عامل Finance
    ۰ دقیقه
    Instant transcript with quote extraction

    The agent transcribes earnings call recordings the moment they are available and extracts numerical guidance statements into a Google Sheet — analysts read, not type.

  • Operations
    25 دقیقه در هفته
    Meeting recording manual write-up

    Operations managers re-watch recorded meetings, write action items by hand, and distribute notes over email — 25 minutes per meeting to produce a usable summary.

    عامل Operations
    ۰ دقیقه
    Auto-generated meeting action items

    The agent transcribes every recorded operations meeting, extracts speaker-attributed action items, and creates ClickUp tasks — the write-up is done before the next meeting starts.

  • Legal
    6 دقیقه در هفته
    Deposition audio to draft transcript

    Paralegals send deposition recordings to a third-party transcription vendor, wait 24 hours, and then proofread the output — 6 minutes of coordination and correction per session.

    عامل Legal
    ۰ دقیقه
    Same-hour accurate legal transcript

    The agent submits deposition recordings with a custom legal vocabulary and delivers a formatted transcript to the case folder within the hour — no vendor, no waiting.

+ صدها اتوماسیون دیگر AWS Transcribe
میانگین ماهانه
10 ساعت / نفر / ماه
میانگین ماهانه
10 ساعت / نفر / ماه
محاسبه‌گر

محاسبه کنید تیم شما چه چیزی ذخیره می‌کند

اندازه تیم
10 نفر
نرخ ساعتی
20 دلار / ساعت
ساعت ذخیره‌شده / هفته
25
ساعت ذخیره‌شده / سال
1,250
بازگشت سالانه
$25,000

بر اساس الگوی رایج استفاده تیمی از AWS Transcribe: کارهای قابل مشاهده به‌علاوه چند اتوماسیون دیگر که عامل اجرا می‌کند: حدود2.5 ساعت / نفر / هفته کار اداری خودکار می‌شود.

اتصال

چطور AWS Transcribe را به Actionist وصل کنید

روش اتصالی را انتخاب کنید که با محیط کاری شما سازگار است.

The fastest path to AWS Transcribe. Actionist installs the AWS Transcribe MCP server and authenticates using a permissioned IAM role — no token juggling, and the agent gains immediate access to all transcription, vocabulary, and language model operations.

1
Open the Apps tab

Find AWS Transcribe in the Apps library and click Connect. MCP is selected by default.

2
Provide IAM credentials

Enter your AWS Access Key ID and Secret Access Key for an IAM user or role with transcribe:* and s3:GetObject permissions on your audio bucket. Actionist stores them encrypted and never exposes them in logs.

3
Test the connection

Actionist runs a read-only ListTranscriptionJobs call to verify the handshake. You're ready.

اکشن‌ها

15 اکشن که عامل شما می‌تواند اجرا کند

عملیات خواندن و نوشتنی که برای عامل Actionist شما در دسترس است.

تریگرها

8 رویداد که عامل شما می‌تواند به آن واکنش نشان دهد

رویدادهایی که عامل شما زیر نظر می‌گیرد و در پاسخ به آن‌ها اکشن اجرا می‌کند.

مهارت‌ها

مهارت‌هایی که با AWS Transcribe خوب کار می‌کنند

مهارت‌های قابل استفاده مجدد عامل که کنار این اپلیکیشن مفید هستند.

هنوز مهارت جفت‌شده‌ای آماده نشده است. این اپلیکیشن را به عامل خود اضافه کنید تا گزینه‌های مناسب را کشف کنید.
سرورهای MCP

سرورهای MCP سازگار با AWS Transcribe

Actionist را به سرورهای MCP ساخته‌شده برای این اپلیکیشن یا پیرامون آن وصل کنید.

هنوز سرور MCP برای این اپلیکیشن فهرست نشده است.
پرسش‌ها

پرسش‌ها درباره AWS Transcribe + Actionist

How do I connect AWS Transcribe to Actionist?
Open the Apps tab, find AWS Transcribe, and click Connect. Choose the MCP method for the fastest path — Actionist installs the AWS Transcribe MCP server and authenticates using your AWS IAM credentials (Access Key ID and Secret Access Key with transcribe:* permissions). If you prefer direct API access, select API Token and paste your credentials. A read-only verification call confirms the handshake before any jobs are submitted.
What IAM permissions does Actionist need for AWS Transcribe?
Your IAM user or role needs transcribe:CreateTranscriptionJob, transcribe:GetTranscriptionJob, transcribe:ListTranscriptionJobs, transcribe:DeleteTranscriptionJob, and s3:GetObject on the bucket where your audio files live. For Call Analytics add transcribe:StartCallAnalyticsJob; for custom vocabularies add transcribe:CreateVocabulary and transcribe:GetVocabulary. Scope the S3 permission to the specific bucket ARN — never use s3:* in production.
Which audio and video formats does AWS Transcribe accept?
AWS Transcribe processes MP3, MP4, WAV, FLAC, OGG, AMR, and WebM files stored in Amazon S3. The file must be accessible to the IAM role used by Actionist — either in the same AWS account or via a cross-account bucket policy. Maximum file size is 2 GB for batch jobs; streaming transcription works with raw PCM, FLAC, OGG Opus, and MULAW audio streamed in real time.
How do custom vocabularies improve transcription accuracy?
Custom vocabularies teach AWS Transcribe the exact spelling and pronunciation of words it might otherwise mishear — product names, medical terms, legal citations, or proper nouns. You provide a phrase list (up to 256 KB), the agent calls Create custom vocabulary, and once the vocabulary reaches READY status it attaches it to every subsequent transcription job. Accuracy gains are most pronounced for single-word brand names and specialised acronyms.
Can Actionist agents react to transcription job events automatically?
Yes. Actionist wires AWS EventBridge to listen for Transcription job completed and Transcription job failed events. The moment a batch job finishes, the agent receives the event with the transcript S3 URI and starts the next pipeline stage — pushing to Notion, updating HubSpot, or filing a ClickUp task — with no polling loop in your code. Failed jobs trigger an alert to Slack with the exact FailureReason before anyone checks the console.
How does PII redaction work in transcription jobs?
Enable ContentRedaction in the transcription job settings and specify the types you want masked (ALL, PII, or a custom list). AWS Transcribe replaces detected entities such as credit card numbers, phone numbers, and social security numbers with [PII] in the output transcript. For call centre use cases, pair it with a vocabulary filter in MASK mode to catch domain-specific sensitive terms — the agent can create and attach both in a single pipeline step.
What is the difference between batch transcription and streaming transcription?
Batch transcription submits a pre-recorded audio file to AWS Transcribe and returns a completed transcript once the job finishes — typical turnaround is one to five minutes depending on file length. Streaming transcription opens a persistent WebSocket connection and returns partial and final transcript results in near real time, typically within 300 milliseconds of speech. Use batch for call recordings, meetings, and podcasts; use streaming for live captions, voice commands, and real-time agent assist.
How do I avoid submitting duplicate transcription jobs?
Name your transcription jobs deterministically — for example, prefix them with the source file's S3 ETag or a unique event ID. Before creating a new job, the agent calls List transcription jobs filtered by name prefix to check whether a job for that identifier already exists and is COMPLETED or IN_PROGRESS. If a completed job is found the agent reuses its transcript URI; only genuinely new files get a new job created. This prevents double billing and duplicate downstream records.