Whisper | Convert Audio to Text in 50 Languages

Convert speech to text with ease! Whisper by OpenAI transcribes audio into text in over 50 languages, filters accents,…

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  • Upvote: 0
  • Transcriber

⚙️  Tech Specs

❑ Website Registered On:

  9th October, 2007

❑ Is this Mobile Friendly?

  Yes!

❑ Name Servers:

dns1.p08.nsone.net, dns2.p08.nsone.net

❑ Tech Stack:

Ruby, Salesforce, Ruby on Rails, Stripe, Amazon Web Services, GitHub Pages, Zendesk, Google Workspace, DigiCert

📡  Connect

❑ Tool Name:

  Whisper

Connect with QR

whisper-QR-Code-AI-Tool
Go to website

Contact Info:

umar@paystash.com

❑ Email Service By:

  Google Workspace

❑ Safe to Send? :

 Unknown

❑ Verification Status:

  Unknown

〒 Know More

❑ Use it For:

  Transcriber

❑ Pricing Options:

  Free, Paid

❑ Suitable Tags:

  API, Open Source, Self Hosted

Check this Tool

OpenAI’s Whisper is a powerful automatic speech recognition (ASR) system that transforms audio into text. This open-source tool can transcribe and translate spoken language from various audio sources. Whisper uses a deep learning model trained on 680,000 hours of multilingual and multitask supervised data collected from the web. It processes audio by breaking it into 30-second chunks, encoding each segment, and then decoding it to predict the spoken words.

Major Highlights

  • Multilingual support for over 50 languages
  • Robust performance across different accents and background noise
  • Ability to translate audio from other languages into English
  • Open-source availability for developers and researchers
  • Handles files up to 25MB in size
  • Supports various audio formats including mp3, mp4, and wav
  • Offers timestamp granularities for precise word-level transcriptions
  • Can be fine-tuned for specific use cases
  • Integrates with Azure AI services for enhanced capabilities
  • Provides both transcription and translation endpoints

Use Cases

  • Transcribing interviews, podcasts, and video content
  • Creating subtitles and captions for multimedia
  • Translating foreign language audio to English text
  • Assisting people with hearing impairments
  • Improving voice assistants and smart home devices
  • Generating meeting transcripts and summaries
  • Analyzing call center recordings for insights
  • Facilitating voice-controlled document creation
  • Enhancing accessibility in various applications
  • Supporting language learning and pronunciation assessment

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