Creative Tools1 month ago
Free TTS Audio — AI Text-to-Speech & PDF to MP3 | tts.audio
Convert text and PDFs to natural-sounding speech with AI voices, download as MP3.
@caschiblu · X
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Convert text and PDFs to natural-sounding speech with AI voices, download as MP3.
@caschiblu · X
Convert text to natural-sounding AI speech in 18 languages and download as MP3, no sign-up required.
littlepp · HN
Speech Generation – Free text-to-speech in 18 languages
Sonara turns text into natural, expressive speech. Studio-grade voices for narration, assistants, and storytelling.
@Dev_NexaLabs · X
NOTE: we're still in the early phase something is not yet finish.
Convert text and PDFs to audio with natural-sounding AI voices.
@caschiblu · X
Audio API for transcription, emotion detection, and speaking style analysis.
dillon_silzer · Product Hunt
Oruk Speech AI that actually understands you
Speechly listens through your microphone and gives you real-time, research-backed feedback on your speaking — confidence, clarity, pace, filler words, and vocal variety — plus pers
@GoatedMansnb · X
Generate natural speech from text entirely in your browser, with adjustable speed and variation.
g58892881 · HN
Inflect TTS v2+ONNX, 9M/4M text-to-speech models running in the browser
AI voice model that handles revenue calls with natural conversation through interruptions and overlapping speech.
vatsalaggarwal · HN
Production duplex speech model for revenue calls
Generate emotionally expressive speech from text in 59 languages with AI voices.
@prosodyai · X
ProsodyAI — AI text-to-speech that performs, not just pronounces. Tell it how to sound ("warm, slow, like a bedtime story") and it does. Three engines in one app: ours, OpenAI and Gemini. 100,000 characters free every month, voice cloning included.
VoxaType turns natural speech into clean, ready-to-send text. Try the Android early-access app or free online transcription tools.
@devchaos_ · X
Neural text-to-speech with 30 voices in 16 languages, optimized for microcontroller deployment.
u/Affectionate_Hat_585 · Reddit
Building smallest neural Text to speech system that runs on microcontroller cheaper than cup of coffee : 30 voices, 16 languages Most TTS is a cloud API call or a multi-gigabyte model. I wanted the opposite — the smallest, most honest neural TTS I could make, small enough to run somewhere with no server at all: a microcontroller, a browser tab, whatever you've already got. What it turned into: sanoTTS, 30 trained voices across 16 languages, ranging from 294,642 parameters (337