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Description
Beey is a highly efficient application that transforms audio and video files into text within minutes, boasting remarkable accuracy. It supports speech recognition in 20 different languages, making it versatile for a global audience. Additionally, its intuitive editing tool allows users to refine the transcribed content, export it in multiple formats, and generate automatic subtitles or translations. The editing interface features a synchronized playback preview that aligns with the edited text, highlighted by a moving cursor, enabling seamless adjustments. Users can control the playback speed, slow it down, speed it up, or start from any chosen point in the transcription. Furthermore, Beey encompasses a range of supplementary tools: Link, Splitter, Stream, and Voice. The Link tool enables direct transcription of audio or video from major platforms like YouTube. The Splitter feature is particularly useful for lengthy recordings, breaking them into manageable segments for individual editing. Stream allows for real-time transcription and captioning of live broadcasts, while the Voice tool is designed for recording and transcribing live speech effortlessly. Overall, Beey provides a comprehensive suite of features that enhance the transcription experience, catering to various user needs.
Description
Quickly convert audio into text, enabling you to search, modify, and share your recordings effortlessly. This efficient tool operates offline, making it accessible anytime and anywhere. Whether it’s speech, music, applause, or laughter, you can easily locate those memorable moments within your recordings. As you revise your transcript, the corresponding audio updates automatically, allowing you to retain essential segments while discarding the unnecessary ones. You can distribute fully searchable recordings online and create short video snippets for social media platforms. Even if you have a lengthy four-hour lecture, the recorder annotates your transcripts with summary keywords, allowing for swift navigation to the desired sections. It intelligently identifies and categorizes speech, music, and ambient sounds for future searches. With this feature, capturing significant moments without an internet connection is a breeze. Not only can you edit your audio by modifying the text, but this innovative recorder also harnesses the power of search, revolutionizing your audio management experience. With these advancements, staying organized and connected to your audio content has never been easier.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
€7.50 EUR per hour
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
NEWTON Technologies
Founded
2008
Country
Czech Republic
Website
www.beey.io
Vendor Details
Company Name
Founded
1998
Country
United States
Website
recorder.withgoogle.com
Product Features
Transcription
AI / Machine Learning
Annotations
Audio/Video File Upload
Automatic Transcription
Collaboration Tools
File Sharing
For Manual Transcription
Full Text Search
Multi-Language Support
Natural Language Processing (NLP)
Playback Controls
Speech Recognition
Subtitles
Text Editor
Timecoding
Product Features
Transcription
AI / Machine Learning
Annotations
Audio/Video File Upload
Automatic Transcription
Collaboration Tools
File Sharing
For Manual Transcription
Full Text Search
Multi-Language Support
Natural Language Processing (NLP)
Playback Controls
Speech Recognition
Subtitles
Text Editor
Timecoding
