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IBM Watson Speech to Text vs Vosk

IBM Watson Speech to Text

ibm.com

Vosk

alphacephei.com

Side by side

FigureIBM Watson Speech to TextVosk
Price from$0.02/moFree
Free planYesYes
Free trialYes—
Open source——
Windows—Yes
macOS—Yes
Linux—Yes
iOS—Yes
Android—Yes
APIYesYes
Self-hostedYesYes
Plans published51
Spec score · AI transcription tools9.0 (#6)8.4 (#15)
Spec score · Transcription Software8.7 (#11)7.9 (#31)
Spec score · Speech Recognition Software8.7 (#11)8.0 (#22)
API accessYesYes
Export formatsJSONTXT,SRT
IntegrationsIBM documents a pre-built phone assistant integration combining watsonx Assistant, Speech to Text, and Watson Text to Speech.The integrations page lists Asterisk, FreeSWITCH, Jigasi, and UniMRCP integrations.
Intended usersIBM identifies customer self-service, agent assistance, and call analytics as use cases, and describes Plus as intended for small businesses and development or testing by larger enterprises.The FAQ describes Vosk as a practical, plug-and-play speech recognition library for applications, while suggesting Kaldi for research.
Speaker identificationYesYes
Timestamp supportYesYes

Plans

IBM Watson Speech to Text

  • LitePriced on request
  • Plus$0.02 a month
  • PlusPriced on request
  • LiteFree
  • PremiumPriced on request

IBM Watson Speech to Text pricing →

Vosk

  • Vosk Open SourceFree

Vosk pricing →

In their own words

IBM Watson Speech to Text

IBM Watson Speech to Text has no write-up on Specifiction yet; its figures are above.

Visit ibm.com

Vosk

Vosk is an open-source toolkit for speech recognition that works offline, including on devices such as Raspberry Pi, Android, and iOS. It supports more than 20 languages and dialects and includes a streaming API. Developers can reconfigure vocabulary; most small models support dynamic changes. Small models are typically around 50 MB and need about 300 MB of runtime memory, while large server models can require up to 16 GB. Language bindings include Python, Java, C#, and JavaScript, among others. Vosk Server has implementations for WebSocket, gRPC, MQTT, and WebRTC, and listed integrations include Asterisk, FreeSWITCH, Jigasi, and UniMRCP. The server can be installed with Docker and configured to use a locally mounted model folder. Listed systems include Linux x86_64 and arm64, Raspberry Pi 3/4, macOS x86 and M1, and Windows x86 and 64 for the Python package. ARMv6 and Windows ARM64 are unsupported; iOS builds are available on request. The API repository lists an Apache-2.0 license.

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