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SpeakoFlow Mini

SpeakoFlow Mini

Tiny local model that fixes dictation without rewriting it

9upvotes
Launched August 30, 2026

About SpeakoFlow Mini

SpeakoFlow Mini is an innovative open-source tool designed for precise dictation cleanup. Unlike traditional models that often alter correct portions of speech, SpeakoFlow Mini focuses on fixing specific errors while preserving the rest of the dictated text exactly as spoken. Its small size (0.8B parameters, 833 MB) allows it to run offline on a desktop CPU, making it accessible and efficient for individual users and professionals alike. By providing a dedicated solution that doesn't rewrite or reinterpret correct segments—improving only what’s wrong—it addresses a common gap in dictation editing. The model’s ability to leave already correct text untouched 92.6% of the time demonstrates its accuracy and reliability, making it ideal for tasks that demand high fidelity and minimal interference.

Screenshots

SpeakoFlow Mini screenshot 1
SpeakoFlow Mini screenshot 2
SpeakoFlow Mini screenshot 3

Pros

  • Runs offline on desktop CPUs, ensuring privacy and no dependency on internet connectivity
  • Highly accurate in preserving correct speech segments (92.6% untouched)
  • Open source with a lightweight model (0.8B parameters), easy to deploy
  • Focuses solely on fixing errors without rewriting correct text
  • No API or reasoning tokens needed, simplifying integration

Cons

  • Limited to offline use; no cloud-based scalability or API access
  • Relatively small model size may limit complex correction capabilities
  • Lacks built-in features for broader transcription or voice recognition

Use Cases

1Post-dictation editing for professionals requiring high accuracy
2Improving recorded meeting transcripts with minimal changes
3Offline dictation correction in privacy-sensitive environments
4Enhancing voice notes without risking unintended alterations
5Customizing dictation workflows for individual or organizational use

Pricing

Pricing not verified

Quick Info

Upvotes9
Comments1
Launched8/30/2026

Topics

Open SourceArtificial Intelligence

Makers

Abhishek Barali

Abhishek Barali

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