Who is whispergram for?

whispergram is an open-source project built for privacy-focused users and developers.

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

What platforms does whispergram run on?

whispergram runs on the command line.

Is whispergram still active?

Unverified. whispergram 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 are alternatives to whispergram?

Similar projects tracked by PulseGate include conversa-transcribe, whisper-telegram-mcp, and Whisper Transcription.

Who makes whispergram?

whispergram is developed by davidmalko87.

How long has whispergram been around?

whispergram first shipped in 2026.

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whispergram

Name: whispergram
Author: davidmalko87

PyPIInfrastructure

whispergram is an open-source CLI tool that transcribes Telegram chat exports locally. It uses Whisper for voice and video, OCR for screenshots, and a local vision model for photos, ensuring privacy and offline operation.

Open SourceMITCLI

Visit PyPI

Overview

6 features

whispergram sits in PulseGate's AI category. It focuses on transcribing and extracting content from Telegram chats, including voice, video, and images, entirely offline. whispergram is an open-source project aimed at privacy-focused users and developers. whispergram is open source under the MIT license. whispergram is available on the command line.

It is developed by davidmalko87, and it first shipped in 2026. Among its 6 catalogued features are telegram export support, voice transcription, and video transcription.

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

Telegram export support
Voice transcription
Video transcription
OCR screenshots
Image captioning
Offline mode

Built with & integrations

AI providers

local_oss

Runs on

CLI

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierGitHub

Indexing history

What PulseGate has recorded for this listing

Indexed30 Jun · 22:57 UTC
whispergram verified against its public source
Source: PulseGate · Open

Frequently asked questions about whispergram

What does whispergram do?: Whispergram focuses on transcribing and extracting content from Telegram chats, including voice, video, and images, entirely offline. It is catalogued under AI on PulseGate.
Who is whispergram for?: whispergram is an open-source project built for privacy-focused users and developers.
Is whispergram free?: Yes — whispergram is open source under the MIT license and free to use.
What platforms does whispergram run on?: whispergram runs on the command line.
Is whispergram still active?: Unverified. whispergram 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 are alternatives to whispergram?: Similar projects tracked by PulseGate include conversa-transcribe, whisper-telegram-mcp, and Whisper Transcription.conversa-transcribe whisper-telegram-mcp Whisper Transcription
Who makes whispergram?: whispergram is developed by davidmalko87.
How long has whispergram been around?: whispergram first shipped in 2026.

At a glance

Platforms: Cli
Languages: English
Open source: Yes (GitHub)
License: MIT
First seen: 30 Jun 2026
Built for: Privacy-focused users and developers
Model: Open source
Solves: Transcribing and extracting content from Telegram chats, including voice, video, and images, entirely offline.

Registered as

GitHub: davidmalko87/whispergram
PyPI: whispergram

Developer

davidmalko87

GitHub

Open source

View on GitHub

Index record

Identity confidence: Low · 64
Indexed: 30 Jun 2026
Lifecycle: Alive
First seen: Jun 2026
Last seen: 30 Jun 2026

Identity audit (12)

Slug: whispergram-pypi-org
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 30 Jun 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: Assigned by a language model.
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/whispergram

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