AssemblyAI vs IBM Watson Speech To Text comparison

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AssemblyAI Logo
402 views|361 comparisons
IBM Logo
2,464 views|1,824 comparisons
100% willing to recommend
Featured Review
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Anonymous User
Ranking
5th
Views
402
Comparisons
361
Reviews
0
Average Words per Review
0
Rating
N/A
4th
Views
2,464
Comparisons
1,824
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
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Overview

Automatically convert audio and video files and live audio streams to text with AssemblyAI's Speech-to-Text APIs. Do more with Audio Intelligence - summarization, content moderation, topic detection, and more. Powered by cutting-edge AI models.

Watson Speech to Text is a cloud-native solution that uses deep-learning AI algorithms to apply knowledge about grammar, language structure, and audio/voice signal composition to create customizable speech recognition for optimal text transcription.

Sample Customers
Information Not Available
American Airlines, UBank, Bitly, Eurobits
Top Industries
No Data Available
VISITORS READING REVIEWS
Computer Software Company22%
University10%
Educational Organization9%
Comms Service Provider8%
Company Size
No Data Available
VISITORS READING REVIEWS
Small Business24%
Midsize Enterprise13%
Large Enterprise63%

AssemblyAI is ranked 5th in Speech-To-Text Services while IBM Watson Speech To Text is ranked 4th in Speech-To-Text Services. AssemblyAI is rated 0.0, while IBM Watson Speech To Text is rated 8.0. On the other hand, the top reviewer of IBM Watson Speech To Text writes "Easy to understand, configure, and use". AssemblyAI is most compared with Amazon Transcribe, Google Cloud Speech-to-Text and Rev.ai, whereas IBM Watson Speech To Text is most compared with Google Cloud Speech-to-Text, Microsoft Azure Speech Service and Amazon Transcribe.

See our list of best Speech-To-Text Services vendors.

We monitor all Speech-To-Text Services reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.