Who is localwhisper for?

localwhisper is an open-source project built for windows users needing dictation.

Is localwhisper free?

Yes — localwhisper is open source under the MIT license and free to use.

What platforms does localwhisper run on?

localwhisper runs on the command line.

Is localwhisper still active?

Unverified. localwhisper has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.

What projects are similar to localwhisper?

Similar projects tracked by PulseGate include whisper-local, winWhisper, and localtalk.

Is localwhisper open source?

Yes — localwhisper is open source under the MIT license.

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localwhisper

PyPIInfrastructure

localwhisper provides local, offline push-to-talk and wake-word activated voice-to-text functionality for Windows. It uses Whisper models to transcribe speech and automatically types the result at the user's cursor. Ideal for developers and power users seeking privacy-focused dictation without internet dependency.

Open SourceMITCLI

Visit PyPI

1alternative

4features

2026since

Overview

4 features

In the Speech to text space, localwhisper takes a focused approach. It focuses on converting spoken words to text offline on Windows without cloud services or manual typing. It is built as an open-source project for windows users needing dictation. localwhisper is open source under the MIT license. It runs on the command line.

localwhisper first shipped in 2026. Key capabilities include offline speech-to-text, push-to-talk, and wake-word detection.

Summary written by a language model from the project’s public pages.

Offline speech-to-text
Push-to-talk
Wake-word detection
Cursor typing

Built with & integrations

AI providers

local_oss

Runs on

CLI

Trust & compliance

License

MIT

Verified signals

HTTPSOpen Source

Indexing history

What PulseGate has recorded for this listing

Indexed22 Jul · 19:47 UTC
localwhisper verified via PyPI Fresh Feed
Source: PyPI Fresh Feed · Open

Frequently asked questions about localwhisper

What does localwhisper do?: Localwhisper focuses on converting spoken words to text offline on Windows without cloud services or manual typing. It is catalogued under Speech to text on PulseGate.
Who is localwhisper for?: localwhisper is an open-source project built for windows users needing dictation.
Is localwhisper free?: Yes — localwhisper is open source under the MIT license and free to use.
What platforms does localwhisper run on?: localwhisper runs on the command line.
Is localwhisper still active?: Unverified. localwhisper has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What projects are similar to localwhisper?: Similar projects tracked by PulseGate include whisper-local, winWhisper, and localtalk.whisper-local winWhisper localtalk
How long has localwhisper been around?: localwhisper first shipped in 2026.
Is localwhisper open source?: Yes — localwhisper is open source under the MIT license.

At a glance

Platforms: CLI
Languages: English
License: MIT
First seen: 22 Jul 2026
Built for: Windows users needing dictation
Model: Open source
Solves: Converting spoken words to text offline on Windows without cloud services or manual typing.

Registered as

PyPI: localwhisper

Developer

Bhargava

Index record

Indexed: 22 Jul 2026
Lifecycle: Alive
First seen: Jul 2026
Last seen: 22 Jul 2026

Identity audit (12)

Slug: localwhisper-pypi-org
Lifecycle last checked: 14 Sep 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 22 Jul 2026
Timeline basis: Indexed-at chronology (no inferred launch/funding milestones).
Name from: Written by a language model from the project's public pages.
Category from: Recorded source: taxonomy-pass-b.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Canonical URL: https://pypi.org/project/localwhisper

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