TranscriptionPlus vs Writtan Detailed comparison features, price

TranscriptionPlus

TranscriptionPlus is a cutting-edge AI transcription platform that converts audio and video files into text with up to 99% accuracy. The service supports over 30 languages and handles a wide range of file formats, making it a versatile solution for professionals across various industries.

The platform stands out with its advanced features, including automatic speaker identification, summary generation, and topic extraction capabilities. With flexible pricing plans and support for files up to 2GB, TranscriptionPlus offers a scalable solution that combines speed, accuracy, and sophisticated analysis tools.

Writtan

Writtan stands at the forefront of AI-powered transcription technology, delivering industry-leading 90% accuracy in speech-to-text conversion. The platform offers real-time transcription capabilities that process audio 20 times faster than traditional methods, making it an invaluable tool for professional environments.

The system employs sophisticated AI algorithms to handle various acoustic environments and provides essential features like speaker diarization and language detection. With its cost-effective approach, Writtan delivers professional-grade transcription services at 80 times lower cost than traditional transcription services.

Pricing

TranscriptionPlus Pricing

Freemium

From $5

TranscriptionPlus offers Freemium pricing with plans starting from $5 per month .

Writtan Pricing

Freemium

From $9

Writtan offers Freemium pricing with plans starting from $9 per month .

Features

TranscriptionPlus

Speaker Identification: Automatic labeling of different speakers in audio files
Summary Generation: Creates concise summaries of transcribed content
Topics Extraction: Automatically identifies and categorizes key themes
Multi-format Support: Compatible with 20+ audio and video formats
Language Support: Transcription available in 30+ languages
Built-in Recorder: Direct audio recording capability

Writtan

Real-time Transcription: Convert speech to text instantly during live sessions
Speaker Diarization: Automatically identify and label different speakers
Language Detection: Automatically identify and transcribe in the detected language
Advanced Search: Quick access to specific moments in transcribed content
High Accuracy: 90% accuracy rate in speech-to-text conversion
Fast Processing: Transcribe one hour of audio in approximately 12 seconds

Use Cases

TranscriptionPlus Use Cases

Podcast transcription
Research interviews documentation
Journalism content creation
Academic lecture transcription
Legal proceedings documentation
Content analysis and research
Meeting minutes generation

Writtan Use Cases

Business meeting transcription
Lecture and educational content capture
Conference documentation
Interview transcription
Professional training sessions
Corporate presentation recording

FAQs

TranscriptionPlus FAQs

How long does it take to generate a transcript?

The processing time depends on the file length and complexity, but most transcriptions are completed within minutes.
What file formats are supported?

The platform supports MP3, MP4, WAV, AAC, M4A, WEBM, FLAC, OPUS, AVI, M4V, MPEG, MOV, OGV, MPG, WMV, OGM, OGG, AU, WMA, AIFF, OGA, and more.
How does TranscriptionPlus compare with the Whisper model?

TranscriptionPlus offers faster, more scalable solution compared to Whisper, requiring less computational resources while maintaining high accuracy and providing more user-friendly integration options.

Writtan FAQs

What is the accuracy rate of the transcription?

The platform offers 90% accuracy rate in speech-to-text conversion, leading the industry across use case categories.
How fast does the transcription process work?

The system can transcribe one hour of pre-recorded audio in approximately 12 seconds, making it 20 times faster than traditional methods.
What languages are supported by the platform?

The platform includes automatic language detection and can transcribe in the identified language, supporting multiple languages.