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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Subanana is a cutting-edge web application designed for converting audio and video content into subtitles, transcripts, and meeting summaries, supporting over 80 languages with exceptional accuracy, particularly for Asian and mixed-language speech like Cantonese, Mandarin, Japanese, and Korean, which are often inadequately addressed by English-centric tools. Users can easily import files or links from platforms like YouTube, Instagram, or Facebook to create subtitles, which can be customized with a glossary and AI-driven corrections before being exported in various formats such as SRT, VTT, TXT, DOCX, bilingual subtitles, or as burned-in video. For transcripts, the app offers features like speaker identification, the elimination of filler words, and the automatic addition of punctuation and paragraph breaks for clarity. Additionally, it provides templates for meeting summaries that capture decisions and action items, along with a unique bot that integrates with Google Meet and Microsoft Teams to analyze recordings after meetings conclude. Furthermore, Subanana offers live captioning services that provide real-time translations during events, enhancing accessibility and understanding for diverse audiences.

Description

Digital Nirvana has developed innovative speech-to-text technology that allows content creators to produce precise transcripts for both audio and video materials. The robust Trance user interface facilitates seamless navigation, editing, and exporting of caption files across all recognized industry formats. With integrated AI features and customizable presets, Trance ensures that captions align with the style requirements of various distribution platforms. Furthermore, the software employs machine learning techniques to streamline the creation of transcripts, closed captions, and subtitles for diverse media content. In addition to these features, Trance introduces a groundbreaking Natural Language Processing tool. This NLP capability enables transcript segmentation based on specific grammar rules and stylistic preferences for different streaming services. Users can automatically generate captions that adhere to multiple style guidelines and file formats, all while minimizing turnaround time, thereby improving efficiency and productivity in content creation.

API Access

Has API

API Access

Has API

Screenshots View All

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Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

$9/month
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

Datax Limited

Country

Hong Kong

Website

subanana.com

Vendor Details

Company Name

Digital Nirvana

Founded

1996

Country

United States

Website

digital-nirvana.com/products/ai-based-closed-captioning-solutions-trance/

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

Alternatives

No Alternatives

Alternatives

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