{"slug": "whisper-large", "name": "Whisper Large", "category": "ai", "category_name": "AI models and assistants", "description": "", "recommenders": 3, "commenters": 3, "warners": 0, "score": 2.821, "rising": 0.35, "first": "2026-05-19", "latest": "2026-10-08", "why": "for my needs, nothing could beat Whisper Large v3.", "why_is_quote": true, "has_verdict": false, "sentiment": {"recommend": 4, "neutral": 0, "compare": 0, "warn": 0}, "spark": [0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1], "listed": true, "loved": [], "caveat": "", "short_quote": "for my needs, nothing could beat Whisper Large v3.", "icon": true, "domain": null, "github_repo": null, "official_url": "https://github.com/openai/whisper", "pricing": "", "aliases": ["Whisper Large", "Whisper large-v3", "Whisper Large v3"], "verdict": null, "praise": [{"label": "", "summary": "", "quotes": [{"id": 800172208, "item_id": 50010763, "url": "https://news.ycombinator.com/item?id=50010763", "by": "jwr", "date": "2026-10-08", "stance": "recommend", "quote": "People keep praising Parakeet, but I've found it to be worse than Whisper Large.", "excerpt": "People keep praising Parakeet, but I've found it to be worse than Whisper Large. Yes, it is much, much faster and smaller, but accuracy matters a lot if you are to use dictation regularly and seriously. I ended up having AI optimize Whisper Large and create a plugin for TypeWhisper, and that's what I use (feeding the results through local Qwen 3.8 running under MTPLX).", "context": "", "use_case": "dictation", "switched_from": "Parakeet", "story": "Whistle: Speech to Text in 16.9 MB"}, {"id": 791599408, "item_id": 49474963, "url": "https://news.ycombinator.com/item?id=49474963", "by": "jwr", "date": "2026-08-28", "stance": "recommend", "quote": "for my needs, nothing could beat Whisper Large v3.", "excerpt": "It's interesting that the results can be so different depending on the person, the use case and even the microphone used. I use dictation a lot, so I try to stay up to date with the latest models as much as I can. So far, for my needs, nothing could beat Whisper Large v3. I keep hearing that Nvidia Parakeet models are better, but they just don't work as well for me, even though they are unquestionably faster. Things ", "context": "heavy dictation user", "use_case": "dictation", "switched_from": "", "story": "Gemini-3.5-Transcribe"}, {"id": 783055168, "item_id": 48940948, "url": "https://news.ycombinator.com/item?id=48940948", "by": "Footprint0521", "date": "2026-07-16", "stance": "recommend", "quote": "I use whisper v3 large all the time from voice memo dumps", "excerpt": "As a verbal processor, I hate this. I use whisper v3 large all the time from voice memo dumps that are AI grammar corrected and this would flag when I copy paste it in :/ I wish there was a solution", "context": "verbal processor", "use_case": "voice memo transcription", "switched_from": "", "story": "Detecting LLM-Generated Texts with \"Classical\" Machine Learning"}, {"id": 771096897, "item_id": 48193556, "url": "https://news.ycombinator.com/item?id=48193556", "by": "adamcharnock", "date": "2026-05-19", "stance": "recommend", "quote": "has been essentially as good, while also having lower latency", "excerpt": "FWIW - I also really like Wispr Flow, but I moved to running the 'Whisper Large' model locally using Handy (https://github.com/cjpais/Handy), which has been essentially as good, while also having lower latency.", "context": "", "use_case": "local speech to text", "switched_from": "Wispr Flow", "story": "New accessibility features powered by Apple Intelligence"}]}], "caveats": [], "who": [{"by": "jwr", "context": "heavy dictation user", "url": "https://news.ycombinator.com/item?id=49474963", "date": "2026-08-28"}, {"by": "Footprint0521", "context": "verbal processor", "url": "https://news.ycombinator.com/item?id=48940948", "date": "2026-07-16"}], "tags": [], "use_cases": ["dictation", "voice memo transcription", "local speech to text"], "compared": [{"slug": "parakeet", "name": "Parakeet", "co": 2, "switched_from": 1, "switched_to": 0}, {"slug": "wispr-flow", "name": "Wispr Flow", "co": 1, "switched_from": 1, "switched_to": 0}], "makers": [], "threads": [{"url": "https://news.ycombinator.com/item?id=50008427", "title": "Whistle: Speech to Text in 16.9 MB", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=49468818", "title": "Gemini-3.5-Transcribe", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=48936880", "title": "Detecting LLM-Generated Texts with \"Classical\" Machine Learning", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=48192224", "title": "New accessibility features powered by Apple Intelligence", "mentions": 1}], "sentiment_by_month": {"2025-11": {}, "2025-12": {}, "2026-01": {}, "2026-02": {}, "2026-03": {}, "2026-04": {}, "2026-05": {"recommend": 1}, "2026-06": {}, "2026-07": {"recommend": 1}, "2026-08": {"recommend": 1}, "2026-09": {}, "2026-10": {"recommend": 1}}, "quotes": [{"id": 800172208, "item_id": 50010763, "url": "https://news.ycombinator.com/item?id=50010763", "by": "jwr", "date": "2026-10-08", "stance": "recommend", "quote": "People keep praising Parakeet, but I've found it to be worse than Whisper Large.", "excerpt": "People keep praising Parakeet, but I've found it to be worse than Whisper Large. Yes, it is much, much faster and smaller, but accuracy matters a lot if you are to use dictation regularly and seriously. I ended up having AI optimize Whisper Large and create a plugin for TypeWhisper, and that's what I use (feeding the results through local Qwen 3.8 running under MTPLX).", "context": "", "use_case": "dictation", "switched_from": "Parakeet", "story": "Whistle: Speech to Text in 16.9 MB"}, {"id": 791599408, "item_id": 49474963, "url": "https://news.ycombinator.com/item?id=49474963", "by": "jwr", "date": "2026-08-28", "stance": "recommend", "quote": "for my needs, nothing could beat Whisper Large v3.", "excerpt": "It's interesting that the results can be so different depending on the person, the use case and even the microphone used. I use dictation a lot, so I try to stay up to date with the latest models as much as I can. So far, for my needs, nothing could beat Whisper Large v3. I keep hearing that Nvidia Parakeet models are better, but they just don't work as well for me, even though they are unquestionably faster. Things ", "context": "heavy dictation user", "use_case": "dictation", "switched_from": "", "story": "Gemini-3.5-Transcribe"}, {"id": 783055168, "item_id": 48940948, "url": "https://news.ycombinator.com/item?id=48940948", "by": "Footprint0521", "date": "2026-07-16", "stance": "recommend", "quote": "I use whisper v3 large all the time from voice memo dumps", "excerpt": "As a verbal processor, I hate this. I use whisper v3 large all the time from voice memo dumps that are AI grammar corrected and this would flag when I copy paste it in :/ I wish there was a solution", "context": "verbal processor", "use_case": "voice memo transcription", "switched_from": "", "story": "Detecting LLM-Generated Texts with \"Classical\" Machine Learning"}, {"id": 771096897, "item_id": 48193556, "url": "https://news.ycombinator.com/item?id=48193556", "by": "adamcharnock", "date": "2026-05-19", "stance": "recommend", "quote": "has been essentially as good, while also having lower latency", "excerpt": "FWIW - I also really like Wispr Flow, but I moved to running the 'Whisper Large' model locally using Handy (https://github.com/cjpais/Handy), which has been essentially as good, while also having lower latency.", "context": "", "use_case": "local speech to text", "switched_from": "Wispr Flow", "story": "New accessibility features powered by Apple Intelligence"}]}