tomoviee-text-to-sound-effectsGenerate sound effects from text prompts using Tomoviee Text-to-Sound-Effect API (`tm_text2sfx`) through Wondershare OpenAPI gateway (`https://openapi.wonder...
Install via ClawdBot CLI:
clawdbot install wondershare-boop/tomoviee-text-to-sound-effectsGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://www.tomoviee.ai/developers.htmlAudited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
Automatically generate custom sound effects like footsteps, weather, or mechanical noises based on scene descriptions, reducing reliance on pre-recorded libraries and saving time in post-production.
Create dynamic sound effects for game environments, such as ambient forest sounds or weapon effects, directly from text prompts to enhance audio design and streamline asset creation.
Generate background sounds or effects to enrich storytelling, such as city noise or magical chimes, making audio content more immersive without extensive recording equipment.
Produce unique sound effects for commercials or social media videos based on brand themes, like futuristic beeps for tech products, to create engaging audio branding elements.
Create auditory cues or environmental sounds for educational videos, such as historical battle noises or science experiment sounds, to improve learning engagement and retention.
Offer pay-per-use or subscription-based access to the text-to-sound effect API, targeting developers and businesses that need scalable, on-demand audio generation for their applications.
License the technology to software companies for embedding in video editing tools, game engines, or content platforms, generating revenue through licensing agreements and customization fees.
Provide a free web interface for basic sound effect generation with limited features, while charging for premium options like higher quality, longer durations, or commercial usage rights.
💬 Integration Tip
Use the provided Python client for quick setup, and poll task statuses asynchronously to handle long-running sound generation tasks efficiently.
Scored Jun 17, 2026
Local speech-to-text with the Whisper CLI (no API key).
Local speech-to-text using OpenAI Whisper. Runs fully offline after model download. High quality transcription with multiple model sizes.
Text-to-speech via OpenAI Audio Speech API.
Generate spoken audio from text using the local Kokoro TTS engine. Use when the user asks to "say" something, requests a voice message, or wants text converted to speech.
Convert text to speech using Hume AI (or OpenAI) API. Use when the user asks for an audio message, a voice reply, or to hear something "of vive voix".
Speech-To-Text with MLX (Apple Silicon) and opensource models (default GLM-ASR-Nano-2512) locally.