How to vibe codeCleanvoice
Automated post-production SaaS for audio and video
cleanvoice.ai ↗Audio & Video AI SaaS
The verdict: can you vibe code Cleanvoice?
Build a simple single-track script wrapper instead of paying, but skip cloning the full multitrack SaaS production pipeline.
Replicating Cleanvoice involves stitching together complex audio ML models for source separation and forced alignment, building a robust asynchronous worker queue for heavy media files, and managing precise waveform splicing. While you can easily write a Python script that calls Whisper and a local Demucs model to strip out silence and filler words for personal use, building a reliable multitrack SaaS with webhooks and API keys requires serious backend infrastructure engineering.
Estimated effort: 3-4 weeks of focused engineering
What you can't replicate
- Proprietary fine-tuned acoustic models optimized specifically for low-latency multi-language filler word detection
- Enterprise ISO 27001 compliance trust and established brand moat serving 15,000+ podcasters
Founded
2021
Raised
—
Team
1-100
Cheapest paid tier
$20
What Cleanvoice does
An automated AI audio and video post-production platform that removes filler words, background noise, mouth sounds, stutters, and silences while generating transcriptions and summaries.
Core features
- Filler word detection and excision across 20+ languages
- Background noise and room reverb removal
- Mouth sound, saliva crackle, and heavy breath attenuation
- Silence and dead air trimming
- Studio sound normalization and vocal balancing
- Automatic transcription and show notes generation
- Multitrack synchronization and simultaneous editing
- REST API and SDK for automated pipelines
The business
Pricing
- Free TrialFree
- Pay-as-you-go 10 Hours$20
- Subscription 30h$30/mo
Funding
Unknown / bootstrapped
Pay vs build, cumulative
Break-even at month 3 — after that, every month is money kept.
The hard parts of vibe coding Cleanvoice
- Acoustic source separation and forced alignment models to pinpoint precise timestamps of filler words without clipping natural speech
- Multitrack time-alignment and phase preservation while independently editing separate guest tracks
- Asynchronous heavy media processing pipelines requiring GPU worker queues to prevent HTTP timeouts
- Complex digital signal processing (DSP) logic to splice audio waveforms cleanly without audible clicks or phase artifacts
How to vibecode Cleanvoice
Prerequisites
Node.jsfree
Runtime environment for the Next.js web application and dashboard frontend.
Pythonfree
Required for backend audio processing workers utilizing PyTorch, Demucs, and Whisper.
GitHubfree
Repository hosting and CI/CD deployment pipeline.
AI coding tools
Recommended stack
| Frontend | Next.js with Tailwind CSS and shadcn/ui |
|---|---|
| Backend | Next.js API routes paired with a Python FastAPI audio processing worker service |
| Database | Turso for SQLite metadata storage and user tracking |
| Auth | better-auth for self-hosted secure user management |
| Payments | Stripe for billing and credit purchases |
| Other | Cloudflare R2 for audio/video file storage, Upstash Redis for background processing queue |
Build guide
01Scaffold Next.js Dashboard and Database
Initialize the Next.js project with Tailwind CSS, shadcn/ui components, better-auth integration, and Turso database connection for user tracking and file metadata.
Create a new Next.js project configured with TypeScript, Tailwind CSS, and App Router. Set up better-auth with email/password authentication backed by a Turso SQLite database via Drizzle ORM. Build a clean dashboard layout featuring a sidebar navigation, file upload dropzone, processing history table, and user credit balance counter. Ensure all UI components follow a modern SaaS aesthetic with dark mode support.02Configure Cloudflare R2 File Storage & Presigned Uploads
Implement direct-to-R2 presigned upload endpoints in Next.js to handle large audio and video files securely without hitting serverless payload limits.
Implement server actions and API routes in Next.js that generate secure presigned URLs for Cloudflare R2 bucket uploads. Build a frontend drag-and-drop upload component that uploads audio (.mp3, .wav) and video (.mp4) files directly to R2 with progress bars. Add validation for file types and maximum size limits, storing file metadata in the Turso database once uploads complete.03Build Python FastAPI Processing Worker Service
Create a standalone Python FastAPI service that pulls audio tasks from an Upstash Redis queue, downloads files from R2, and prepares them for AI processing.
Create a Python FastAPI service structured for background audio processing. Connect it to an Upstash Redis queue to listen for incoming audio processing jobs containing file keys and user settings (e.g., filler word removal, noise reduction, silence trimming). Implement job status tracking (pending, processing, completed, failed) stored in Turso, and include robust error handling with automatic retries.04Implement AI Audio DSP and Filler Word Removal Pipeline
Integrate Python libraries for voice separation, forced alignment transcription, and waveform trimming to execute the core audio cleaning logic.
Within the FastAPI worker, implement an audio processing pipeline using Whisper for forced alignment transcription and Demucs for background noise isolation. Write DSP logic using librosa or pydub to identify timestamps of filler words ('um', 'uh'), long silences (>2 seconds), and heavy breaths, then splice the audio waveform accordingly without introducing phase pops or clicks. Save the resulting processed audio file back to Cloudflare R2 and update the job record.05Build Result Review, Audio Player, and Export Dashboard
Develop an interactive web audio player showing edited timestamps, allowing users to preview cleaned audio and download files or edit logs.
Build a dashboard results page in Next.js featuring an interactive audio waveform player (using wavesurfer.js) that highlights removed filler words and silences as markers. Add controls to toggle specific filters on/off, view the generated text transcription and summary, and download either the final cleaned audio file or edit timeline export files (.srt / JSON markers) for external digital audio workstations.06Implement Developer REST API and Webhooks
Expose programmatic REST endpoints for file upload, job submission, and status retrieval to enable developer pipeline integrations.
Create developer API routes in Next.js secured by API key authentication. Implement POST /api/v1/jobs to accept audio URLs or direct uploads, queue the processing task, and return a job ID. Implement GET /api/v1/jobs/{id} to check status and retrieve download links for cleaned files and transcripts. Generate a developer settings page in the dashboard allowing users to create, view, and revoke their API keys.
Cost vs paying for Cleanvoice
What will you build it with?
Starting total with Claude Code$0 one-time
Starting costs (one-time)
- AI Coding Assistant (Claude Pro)$20
- Domain Name$12/yr
Total~$32 one-time
Ongoing costs (monthly)
- Fly.io Worker Hosting$15/mo
- Cloudflare R2 & Turso DB$0-5/mo
Total~$15-20/mo
Paying for Cleanvoice
$30/mo
Your time to build
60-80 hours
AI tool credits
$20 (Claude Pro)
Break-even
Not a financial saving for light users due to server and ML hosting costs, but viable for custom automated API workflows.
Vibe code Cleanvoice: FAQ
- Can you vibe code Cleanvoice yourself?
- Serious undertaking — 42/100 vibecodeable. Build a simple single-track script wrapper instead of paying, but skip cloning the full multitrack SaaS production pipeline.
- How long does it take to vibe code Cleanvoice?
- 3-4 weeks of focused engineering — roughly 60-80 hours of hands-on time with an AI coding agent.
- How do you build your own Cleanvoice?
- Scoped to personal use: Next.js with Tailwind CSS and shadcn/ui on the front, Next.js API routes paired with a Python FastAPI audio processing worker service behind it, Turso for SQLite metadata storage and user tracking for data. Follow the 6-step build guide on this page — each step has a paste-ready prompt for an AI coding agent.
- How do you code your own Cleanvoice without being an expert?
- Use an AI coding tool (Claude Code or Cursor) and work in small steps: scaffold, data model, core screens, then deploy. Realistic effort: 3-4 weeks of focused engineering. The prompts on this page are written so the AI does the heavy lifting.
- How much does it cost to vibe code Cleanvoice instead of paying?
- About ~$32 one-time to start and ~$15-20/mo to run, versus $30/mo for Cleanvoice. Break-even: Not a financial saving for light users due to server and ML hosting costs, but viable for custom automated API workflows..
- What stack should you use to vibe code Cleanvoice?
- Next.js with Tailwind CSS and shadcn/ui; Next.js API routes paired with a Python FastAPI audio processing worker service; Turso for SQLite metadata storage and user tracking; plus Cloudflare R2 for audio/video file storage, Upstash Redis for background processing queue.