Whishper is live · free · last verified 24 Oct 2026 · viability monitor

Whishper

Whishper

Open-source, self-hosted web app that transcribes and translates audio entirely on your own machine.

61/100MonitorFreeFree

Whishper is the pick when the recording cannot leave your machine. You get faster-whisper transcription, an in-browser subtitle editor, and translation across 60+ languages via Argos Translate and LibreTranslate, all self-hosted and MIT-licensed. Compared with cloud per-minute tools like Otter.ai or Rev.com, there is no upload step and no per-minute transcription bill, but you trade that for running your own stack on your own hardware. Choose it for confidential interviews and offline subtitling; skip it if you need live captions or shared multi-user workspaces.

Verdict generated

Verified 6d ago · liveness 61/100 · cite: rightaichoice.com/tools/whishper

Best for
  • Privacy-conscious solo professionals
  • Journalists transcribing sensitive interviews
  • Researchers handling confidential audio
  • Content creators who need offline subtitling
Not ideal for
  • Teams that need shared multi-user workspaces and permissions
  • Anyone who needs real-time live captioning
  • Buyers who want a managed cloud service with no install step
Visit Website

IntermediateSelf-hosting enthusiasts: minutes to install via Docker, longer if you are setting up GPU acceleration — realistic first transcript the same session. Non-technical buyers: budget an afternoon for Docker, storage and the first run before you trust it with a real recording.WebNo public APIVerified 6d ago
Pricing
Free
FreeFree tier3 hidden costs
Learning curve
Intermediate
Self-hosting enthusiasts: minutes to install via Docker, longer if you are setting up GPU acceleration — realistic first transcript the same session. Non-technical buyers: budget an afternoon for Docker, storage and the first run before you trust it with a real recording.
Runs on
Web
No public API · 2 integrations
Who it's for
Investigative journalistVideo creator subtitling foreign-language footageResearcher archiving confidential audio
Live sentiment
Is Whishper actually worth it?

We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.

  • Honest verdict, not marketing
  • Real pros & cons from real users
  • Attributed quotes with receipts
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Skip it if

Skip Whishper if you need live captioning during a call or event, or if your team needs a shared workspace with roles and permissions rather than a single-user install you host yourself.

Skip-it-if note generated
The 30-second take
Biggest gripe

Your own hardware does the work: long recordings need CPU/GPU headroom, so a slow machine is effectively a cost you pay in wait time

Price reality

Whishper is MIT-licensed and free to run; the real cost is the machine you host it on. That puts it below per-minute cloud transcription services like Otter.ai or Rev.com for high-volume confidential work, where those services bill by the minute, and above the effort of a managed service you never have to maintain.

Generated

In short

Whishper — Open-source, self-hosted web app that transcribes and translates audio entirely on your own machine. Best for Privacy-conscious solo professionals, Journalists transcribing sensitive interviews, Researchers handling confidential audio. Free to use.

What is Whishper?

Whishper — Open-source, self-hosted web app that transcribes and translates audio entirely on your own machine. Best for Privacy-conscious solo professionals, Journalists transcribing sensitive interviews, Researchers handling confidential audio. Free to use.

FreeIntermediateNo APIWeb

Whishper is an open-source, local-first audio transcription and subtitling suite you install and run yourself. You upload media through a browser UI, it transcribes speech to text with faster-whisper, and you refine the result in a built-in subtitle editor. Translation is a first-class step: Argos Translate and LibreTranslate let you convert transcriptions to and from more than 60 languages without sending audio to a third-party API. Exports cover JSON, TXT, VTT and SRT, so output drops straight into video or archive workflows. Whishper is MIT-licensed and runs 100% offline, so your recordings never leave your computer. That makes it a fit for journalists working with sensitive interviews, researchers handling confidential audio, and creators who need subtitles without a per-minute cloud bill. It is built around finished files, not live audio, and you are responsible for installing, hosting and maintaining the stack.

Key features

  • Local transcription with faster-whisper, no cloud calls
  • Translation to and from 60+ languages via Argos Translate and LibreTranslate
  • Built-in web subtitle editor
  • Export transcripts as JSON, TXT, VTT or SRT
  • 100% offline operation — recordings stay on your computer
  • Self-hosted deployment (Docker or direct install)
  • MIT-licensed open-source codebase
  • Browser-based media upload
  • Transcription progress feedback
  • Simple web UI for managing transcriptions
  • Transcribe any media file to text
  • Subtitle timing and text editing in the Web-UI

Behind the verdict

Whishper's design decision is simple and it holds: nothing leaves the box. Transcription runs on faster-whisper locally, translation runs on Argos Translate and LibreTranslate locally, and the whole thing is MIT-licensed so you can read and modify the code. That combination is rare among transcription tools, most of which are per-minute cloud services that want your audio uploaded first. If the audio is an interview with a confidential source, a patient record, or unreleased material under NDA, that difference is the whole purchasing decision. The workflow is file-in, subtitle-out. You upload media through the web UI, watch transcription progress, then open the built-in subtitle editor to fix text and timing. Export lands as JSON, TXT, VTT or SRT, which covers the practical cases: SRT/VTT for video players and editors, TXT for reading and search, JSON if you want to process segments programmatically. The editor is basic but real — you can correct a transcription without round-tripping through another app. What you take on: you install and keep the stack running yourself, whether via Docker or a direct install. Transcription speed tracks your own CPU/GPU, and long recordings are the slowest case — the vendor itself calls faster-whisper 'lightning fast', but that is relative to your hardware, not a hosted GPU. It is a single-user tool with no shared workspace, role or permission model, so it does not scale to a team that needs review queues and access control. And it processes finished files, not live microphone input, so live captioning is out of scope. Where it fits: solo journalists, researchers, academics, and video creators who already self-host something and are comfortable with Docker. Where it doesn't: teams needing shared workspaces and approvals, live captioning for events or streaming, or buyers who want a managed service with no install step. If you need any of those, a cloud transcription service is the honest answer; Whishper is the privacy-first specialist, not a general-purpose replacement.

Models under the hood

faster-whisper

as of 2026-10-22

Limitations

  • Whishper is self-hosted, so you install Docker or the direct build and keep it running yourself.
  • Performance tracks your own hardware, and long recordings are the slowest case.
  • It is a single-user tool: there is no shared workspace, role or permission model for teams.
  • It is built around finished files, not live audio, so it does not do real-time captioning.
  • Translation quality depends on the Argos Translate / LibreTranslate engines rather than a frontier commercial model.

as of 2026-10-19

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Is Whishper still active?

Whishper is live · free · last verified 24 Oct 2026 · viability monitor.

Viability score

61/100
Monitor

How well maintained and how widely used is Whishper? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
not measured
Traction
100
Site health
95
User sentiment
60
What the vendor publishes
0

Last calculated: October 2026

How we score →

What do users say about Whishper?

What people actually say about Whishper — is it worth it?

We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.

Researched

25 mentions across 2 sources (Hacker News, YouTube) · researched Aug 21, 2026.

60% positive40% critical

Average across the 2 sources that answered — each source counts once, not each post.

Recurring strengths
  • +100% offline, no data ever leaves your machine.
  • +Zero recurring cost; free forever, no per-minute charges.
  • +Simple web UI for uploading, transcribing, and editing subtitles.
  • +Built-in subtitle editor with dark mode and search.
  • +Supports 60+ languages with translation via Argos/LibreTranslate.
Recurring frustrations
  • −Requires Docker or manual install; not beginner-friendly.
  • −Very little community presence or user reviews to gauge reliability.
  • −No dedicated support; troubleshooting is on you.
  • −Translation quality may vary compared to commercial services.
  • −Mobile and Linux support unclear from community chatter.
Patterns worth knowing
Privacy-first transcription: users value running entirely offline with no data leakage.
Seen on Hacker News
Confusion about the tool's identity and capabilities: YouTube comments mix it up with dictation apps like Wispr Flow and Superwhisper.
Seen on YouTube
Limited cross-platform support: queries about Linux and offline usage suggest platform gaps.
Seen on YouTube
Learning curve
intermediateProductive in ~A few hours
Hidden costs people mention
  • • Hardware costs: better CPU/GPU improves speed
  • • Time investment for self-hosting and maintenance

How we verified this

Every listed fact about Whishper— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 24 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.

Verification history

We have re-verified Whishper 8 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. — changed pricing fit, limitations, who should skip it, switching in, features, pricing tiers, switching out, our verdict, setup time, hidden costs, description
  2. — changed who it suits, description, our verdict, features, hidden costs, limitations, switching in, switching out, who should skip it, pricing tiers, pricing fit, setup time, summary, use cases
  3. — changed SSL certificate
  4. — changed SSL certificate
  5. — changed pricing fit, setup time, switching out, models, our verdict, switching in, hidden costs, who should skip it
  6. — changed pricing page

Showing the 6 most recent of 8 verification passes.

Free to cite with attribution — this page re-verifies continuously.

How much does Whishper cost in 2026?

Whishper: Free to use. Pricing last verified 24 Oct 2026.

Plans compared

Every published Whishper tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.

Whishper pricing plans compared
PlanPriceBillingWho it's for
Open SourceFree—Solo journalists, researchers and self-hosting creators who need confidential audio transcribed without a per-minute cloud billAdds: Starting (and only) entry point: MIT-licensed software, 100% offline faster-whisper transcription, translation across 60+ languages, and a built-in subtitle editor

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Free
Over 12 months
Effective monthly
—
—

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • Your own hardware does the work: long recordings need CPU/GPU headroom, so a slow machine is effectively a cost you pay in wait time
  • Self-hosting means you carry the maintenance — upgrades, storage for media files, and keeping the Docker or direct install running
  • Translation quality comes from Argos Translate and LibreTranslate, so if you need frontier-model translation you will pay separately for that service

Where the pricing makes sense

The company stage and team size where Whishper's pricing actually pencils out — and where peers do it cheaper.

Whishper is MIT-licensed and free to run; the real cost is the machine you host it on. That puts it below per-minute cloud transcription services like Otter.ai or Rev.com for high-volume confidential work, where those services bill by the minute, and above the effort of a managed service you never have to maintain.

Hidden-cost and price-fit notes generated

Has Whishper's pricing changed?

No plan price for Whishper has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.

Who should pick Whishper?

Pick Whishper if you are Privacy-conscious solo professionals, Journalists transcribing sensitive interviews, Researchers handling confidential audio, Content creators who need offline subtitling.

Look elsewhere if you are Teams that need shared multi-user workspaces and permissions, Anyone who needs real-time live captioning, Buyers who want a managed cloud service with no install step.

Skip it if Skip Whishper if you need live captioning during a call or event, or if your team needs a shared workspace with roles and permissions rather than a single-user install you host yourself.

Generated

Real-world workflow fit

Concrete scenarios for the personas Whishper actually fits — and what changes day-one when you adopt it.

Investigative journalist

You have three hours of recorded interviews on a topic you cannot upload anywhere. You install Whishper locally, upload the files through the browser UI, and let faster-whisper transcribe offline.

Outcome: You get a searchable text transcript plus SRT in the built-in editor, with no audio ever leaving your laptop.

Video creator subtitling foreign-language footage

You have a foreign-language film clip and need English subtitles. You transcribe locally, run the transcription through the translation step with Argos Translate or LibreTranslate, and adjust timing in the subtitle editor.

Outcome: A finished SRT/VTT file you drop into your editor, produced without a per-minute cloud bill or an upload of the source media.

Researcher archiving confidential audio

You need text versions of a confidential interview set for indexing and search. You batch the files through your own Whishper install over a weekend.

Outcome: Plain TXT and JSON exports you can index locally, with the original recordings and the transcripts both staying on your own storage.

Workflow scenarios generated

Setup time & first value

How long it actually takes to get something useful out of Whishper — broken out by persona, not the marketing-page minute.

Self-hosting enthusiasts: minutes to install via Docker, longer if you are setting up GPU acceleration — realistic first transcript the same session. Non-technical buyers: budget an afternoon for Docker, storage and the first run before you trust it with a real recording.

Switching to or from Whishper

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • →From cloud transcription services (Otter.ai, Rev.com): export your existing transcripts as text/VTT/SRT and re-run the source audio through a local Whishper install when you need a matching subtitle file.
Migrating out
  • ↗To a cloud transcription service: export JSON, TXT, VTT or SRT from Whishper and upload the original media to the cloud tool, since Whishper's exports carry the transcription but not the audio.

Integrations

Argos TranslateLibreTranslate

Tutorials & Learning

YouTube returned 6 videos for “Whishper”, and we withheld 6: 6 could not be judged, because “Whishper” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Whishper.

Official links

What are the best Whishper alternatives?

The closest alternatives to Whishper we list are Audioflare, HappySRT and Whisper. Ranked by direct product-type match, not category overlap.

Closest alternatives to Whishper
AlternativePricingStarts atLast verified
AudioflareFreeFree—
HappySRTFreeFree—
WhisperFreemiumPricing not published—

Alternatives to Whishper

View all
Audioflare

Audioflare

Audioflare is a free open-source browser playground that transcribes, analyzes, translates, and summarizes audio clips up to 30 seconds on Cloudflare Workers

FreeTry
HappySRT

HappySRT

Open-source browser app that transcribes, translates, and summarizes your own audio/video files on-device and writes SRT subtitles.

FreeTry
Whisper

Whisper

OpenAI's open-source speech recognition model for multilingual transcription and to-English translation you can self-host for free

FreemiumTry

Tools that pair well with Whishper

Common stack mates teams adopt alongside Whishper, with the specific reason each pairing earns its keep.

Whishper vs its closest rival

Whishper's closest head-to-head is with Landr Mastering — Choose LANDR Mastering if you need professional, fast AI mastering for your music tracks and are willing to pay a subscription. Choose Whishper if your priority is private, offline transcription and subtitling for spoken audio—it's free but requires self-hosting. Verdict generated

Head-to-head comparisons

Frequently asked questions

Used Whishper? Help shape our editorial sentiment research.