OpenWispr, a free, open-source push-to-talk AI dictation app for Android
OpenWispr Free, open-source, on-device push-to-talk dictation for Android — a free alternative to Wispr Flow. Speak naturally into any app and OpenWispr turns your raw speech into clear, polished text: filler words removed, punctuation and formatting fixed automatically, then inserted straight into whatever field you're already typing in. Tap the floating button, speak, tap again — done.
- ▪OpenWispr Free, open-source, on-device push-to-talk dictation for Android — a free alternative to Wispr Flow.
- ▪Speak naturally into any app and OpenWispr turns your raw speech into clear, polished text: filler words removed, punctuation and formatting fixed automatically, then inserted straight into whatever field you're already typing in.
- ▪Tap the floating button, speak, tap again — done.
2 outlets in our directory ran this story, first to last over 2 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
Hacker News (AI / LLM) files mainly under ai. We currently carry 5,371 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/EdiBianco/OpenWhispr |
| Publication time | Thu, 17 Sep 2026 17:42:15 +0000 |
| Retrieval time | 2026-09-17T17:48:44.358Z |
| Last seen | 2026-09-17T17:48:44.358Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | HVvuqBdVHYXv · 2 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
OpenWispr Free, open-source, on-device push-to-talk dictation for Android — a free alternative to Wispr Flow. Speak naturally into any app and OpenWispr turns your raw speech into clear, polished text: filler words removed, punctuation and formatting fixed automatically, then inserted straight into whatever field you're already typing in. Tap the floating button, speak, tap again — done. It's completely free to run. Cloud transcription and cleanup use your own Groq API key, and Groq's free tier is generous enough for everyday dictation without paying anything. Prefer to keep everything on-device? Local transcription needs no API key or internet connection at all. This is a fork of kafkasl/phone-whisper, originally built around OpenAI.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.