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What does it do?

  • Speech-to-Text Transcription
  • Speaker Diarization
  • Sentiment Analysis
  • Audio Segmentation
  • PII Redaction

How is it used?

  • Integrate API
  • transcribe and analyze audio in real-time.
  • 1. Integrate API w/ apps
  • 2. Use SDKs for coding
  • 3. Transcribe audio
See more

Who is it good for?

  • Customer Service Managers
  • Compliance Officers
  • Podcast Producers
  • Video Conference Organizers
  • Voice Interface Developers

Details & Features

  • Made By

    AssemblyAI
  • Released On

    2017-10-24

AssemblyAI is an AI-powered speech recognition and natural language processing platform that enables users to transcribe, analyze, and understand audio and speech data. The platform offers a comprehensive suite of tools for processing spoken content across various applications and industries.

Key features:

- Multilingual Transcription: Accurate speech-to-text conversion in over 130 languages and dialects, powered by advanced deep learning models.
- Speaker Diarization: Identification and separation of different speakers within a recording.
- Sentiment Analysis: Detection of emotional tone in speech.
- Chapter Detection: Automatic segmentation of audio into logical sections.
- PII Redaction: Protection of sensitive data through personally identifiable information removal.
- Real-time Processing: Live transcription and analysis for applications such as virtual meetings.

How it works:

1. Users integrate AssemblyAI's API into their applications or workflows.
2. Audio data is sent to AssemblyAI's cloud-based platform.
3. The platform processes the audio using AI models for transcription and analysis.
4. Results are returned to the user's application in real-time or as a completed task.

Integrations:

Python, Node.js, Java, Go

Use of AI:

AssemblyAI utilizes large language models and other AI foundations to power its speech recognition and natural language processing capabilities. The platform employs deep learning techniques to achieve high accuracy in transcription and analysis tasks.

AI foundation model:

The specific details of AssemblyAI's underlying AI models are not publicly disclosed. However, the platform leverages advanced AI technologies to deliver its range of speech and language processing features.

Target users:

- Developers integrating speech and language processing into applications
- Enterprises requiring audio analysis and transcription at scale
- Organizations needing automated insights from audio content

How to access:

AssemblyAI is available as a cloud-based API. Users can sign up for an account and access the platform through its API, with SDKs available for various programming languages. Pricing is based on usage, with a free tier and paid plans for higher volumes of processing.

  • Supported ecosystems
    Unknown
  • What does it do?
    Speech-to-Text Transcription, Speaker Diarization, Sentiment Analysis, Audio Segmentation, PII Redaction
  • Who is it good for?
    Customer Service Managers, Compliance Officers, Podcast Producers, Video Conference Organizers, Voice Interface Developers

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