Speech-to-text software with 99% accuracy on audio and video, speaker recognition, and support for 100+ languages powered by OpenAI Whisper and 11Labs. Plus TTS in 3000+ voices, text translation, AI summaries, and exports to any possible format. :).
This page is designed to help you find out whether Wisprs is good and if it is the right choice for you.
Wisprs is AI transcription software for audio and video. Upload client calls, interviews, podcast episodes, or voice memos and get speech-to-text you can edit, with excellent accuracy on clear audio. Quality varies with language, accent, background noise, and mic quality — we'd rather say that upfront than oversell.
Speaker recognition shows who said what, handy for interviews and co-hosted shows. Beyond a wall of text, Wisprs surfaces AI summaries, chapters, topics, and action items, and lets you chat with your transcript to pull out exactly what you need. Transcribe and translate across 100+ languages.
Export anywhere — TXT, SRT, VTT, MD, DOCX, or JSON — so you can publish subtitles, ship show notes, or drop minutes into your workflow. Most files complete in under 5 minutes. Accepts MP3, MP4, WAV, M4A, FLAC, AAC, OGG, WEBM and more, no conversion needed.
Your data stays yours — it is never used to train AI models. Start for free, no credit card required; paid plans from $25/mo for creators, teams, and API users.
Listed in
100+ languages
Transcribe and translate across 100+ languages; auto-detect or choose
Speaker recognition
Automatic speaker labels for interviews and multi-person audio
AI insights
Summaries, chapters, topics, and action items from any recording
Wisprs turns audio and video into editable transcripts with excellent accuracy on clear audio, then goes further: built-in AI summaries, chapters, topics, and action items, plus the ability to chat with your transcript to pull out exactly what you need. It handles 100+ languages with automatic speaker recognition and exports to TXT, SRT, VTT, MD, DOCX, or JSON. It's deliberately honest about quality (which varies with language, accent, and recording conditions), and your data is never used to train AI models.
Compared to Otter, Descript, or Fireflies, Wisprs keeps the focus on fast, editable transcripts with automatic speaker recognition, then layers on AI summaries, chapters, topics, action items, and chat-with-your-transcript, across 100+ languages. It has a genuinely useful free tier (30 min/day, no credit card), flexible exports (TXT, SRT, VTT, MD, DOCX, JSON), and simple pricing from $25/mo. Most files finish in under 5 minutes, and your data is never used to train AI models. It's also upfront that accuracy varies by language, accent, and recording conditions rather than overpromising.
Wisprs is for people who work with a lot of audio and video: content creators and podcasters turning episodes into show notes and subtitles; interviewers and journalists who need speaker-labelled, searchable transcripts; sales teams turning calls into follow-ups and CRM notes; and small teams or agencies that need accurate transcripts plus AI summaries quickly. Developers and enterprises can use the API for higher volumes.
Wisprs is a web app built on a modern stack (Next.js and TypeScript, with a PostgreSQL database). For speech-to-text it uses self-hosted Whisper-based models on the free plan and ElevenLabs Scribe on paid plans; AI summaries, chapters, topics, and insights are powered by OpenAI models. It accepts common audio and video formats (MP3, MP4, WAV, M4A, FLAC, AAC, OGG, WEBM) without manual conversion.
Wisprs started from a simple frustration: transcription tools either overpromised on accuracy or stopped at a raw wall of text. It was built to be honest and genuinely useful, turning client calls, interviews, podcasts, and voice memos into fast, editable transcripts with speaker recognition, plus AI summaries, chapters, topics, and action items you can actually act on. The guiding principles from the start: be upfront that quality varies with the audio, keep it fast, support 100+ languages, and never use customer data to train AI models.
We have collected here some useful links to help you find out if Wisprs is good.
Check the traffic stats of Wisprs on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Wisprs on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Wisprs's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Wisprs on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
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