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Speech-to-posts
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Moinul Moin🛠️ 1 toolNov 4, 2025@VoiceTyprbest voice typing tool -
Verified tools
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I'm currently using Speech to Note for multiple purposes like academic research paper making, quick notes recording for development related feedbacks and it's generating supercool responses that exactly matches my requirements, it's the best AI tools in voice space
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OpenEasily saves me an hour every day - I no longer have to type long winded “professional” sounding email replies to my colleagues, I just speak roughly with minimal effort 👏 -
I use this tool a lot for content marketing. It allows me to just focus on my idea without worrying about the minor details. The script rewrite feature is pretty impressive!
- Sponsor:Base44 - Vibe Coding
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Before registration, it was free, but after downloading to your computer, it became paid.
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I like that the ai support many languages the only disadvantage is that the free version is limited and the paid version is also high $8 per month!!
Other tools
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Great AI voices, though still monotonous and robotic, or rather too neutral, with almost zero voice inflections! Excellent to read news, articles, essays, and any nonfiction books. BTW, computers should be allowed to TALK to us for free, like in the Star Trek TV series. Our future grandchildren will laugh at us for "paying" to use this everyday option, biting the hook to "monthly subscriptions" like gullible fish and then getting up to 1,000 words per month" under the so-called Pro version ;-) This is crazy!
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They deceive - they advertise functionalities that turn out to be in the Pro version, which again has to be purchased. For some languages, the voices are quite old and sound robotic.
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ElevenLabs Speech to Text — v2Live real-time speech-to-text model — built for streaming transcription with very low latency (~150 ms) for live voice interactions. Ultra-low latency performance — instant speech transcription ideal for conversational AI, voice agents, meetings, and live captioning.  High accuracy across many languages — supports 90+ languages with strong real-world performance and benchmark scores.  Predictive streaming (“negative latency”) — anticipates next words and punctuation to reduce delays.  Automatic language detection — the model detects and switches languages mid-conversation.  Advanced streaming controls — includes manual commit control, text conditioning, and voice activity detection (VAD).  Broad audio format support — works with PCM (8–48 kHz) and μ-law audio for compatibility across use cases.
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It seems to be working. I was able to generate some transcriptions without any issues. Maybe give it another try?
