# Build brief — a focused alternative to ElevenLabs

> **Verdict:** Not faithfully · **Buildability:** 17/100 · **Category:** AI Audio
> **Source:** https://www.canitbevibecoded.com/elevenlabs
> Independent editorial assessment from Can It Be Vibe Coded? Not affiliated with, endorsed by, or derived from ElevenLabs. Verify current pricing and capabilities before acting.

## Context

**ElevenLabs** — AI voice generation, dubbing, speech-to-text, and voice tools. It currently costs $22/mo.

A TTS wrapper is easy, but high-quality voice models, voice cloning safety, dubbing workflows, licensing, and compute are the product.

This brief describes a focused, single-operator replacement for the part of ElevenLabs that is genuinely reproducible. It is deliberately narrower than the product it replaces, and it says so in writing. Build the useful core; do not pretend to have rebuilt the rest.

## What you are building

Build a text-to-speech UI around an open model or API, store generated files, and expose voice presets.

- Build a focused single-user workflow with real persistence, search, and export.
- A responsive interface with real empty, loading, success, and error states.

## Requirements

### Functional

- GPU if local.
- Storage.
- Consent/safety checks.
- Audio export.

### Data and integrations

- TTS API or local model.

Each of these needs a real account, credential, or quota. Set them up before writing feature code.

### Non-functional

- Accessibility: semantic markup, labelled controls, visible focus, and reduced-motion support.
- Security: server-side secrets, validated input, and no credentials in the client bundle.
- Reliability: retries with backoff on external calls, and a clear failure state when a provider is down.
- Portability: the operator can export their data and leave without losing it.

## Implementation brief

Build me a personal text-to-speech workbench, the DIY slice of ElevenLabs.
Requirements:

- A Node CLI plus a small local web page (Express, localhost only): paste text,
  pick a voice preset, get an mp3.
- Engine 1: Piper or Kokoro running locally on CPU, free and private. Engine 2:
  optional OpenAI TTS fallback, key in .env, for when quality beats privacy.
- Save every generation to ~/TTS/YYYY-MM-DD/<slug>.mp3 with a sidecar .txt
  holding the input text plus the engine and voice used.
- Voice presets in voices.json: name, engine, voice id, speed.
- Batch mode: point it at a folder of .txt files, get a folder of mp3s, for
  narrating notes or articles.
- No accounts, no telemetry, local-first; the only network calls are the
  optional hosted API.
- Out of scope: voice cloning, dubbing, and emotional voice direction. Never
  clone a real person's voice; that is exactly the part that should not be DIY.
- README: model download steps, and state honestly that the voice quality gap
  versus ElevenLabs is real; frontier voice models plus licensing are the
  product and cannot be rebuilt solo.

## Delivery standard

- Inspect the repository first, then write a short implementation plan before writing code.
- Deliver the smallest complete end-to-end workflow first; every primary control must work against persisted data.
- Use real validation and storage; never substitute fake dashboards, decorative controls, hard-coded success states, or mock integrations.
- Include responsive layouts plus genuine empty, loading, success, validation, and failure states.
- Keep secrets server-side in environment variables, provide .env.example, and never commit credentials or user data.
- Add structured logs around every external call and return actionable errors without leaking sensitive details.
- Write unit tests for the core logic and one automated test of the main user journey.
- Finish with a README covering setup, architecture, data location, backups, tests, deployment, and known limitations.

## Acceptance criteria

- [ ] A clean install starts the app using only the README and .env.example.
- [ ] The primary journey works from first visit through saved result, reload, edit, export, and deletion where applicable.
- [ ] Invalid input, missing configuration, provider failure, and an empty database each have a usable state.
- [ ] The interface works at 390px and 1440px, is keyboard navigable, and shows visible focus on every control.
- [ ] Tests, type checking, linting, and a production build all pass with no ignored failures.
- [ ] No part of the interface implies a live integration, security guarantee, or scale capability that was not actually built and verified.

## Non-goals

Do not build these, and do not claim to have replaced them:

- Voice quality.
- Multilingual dubbing.
- Voice design.
- Safety controls.
- Model quality and inference operations are part of the product.
- Licensed content and distribution rights are not reproducible with an LLM.

## What you still own after launch

- Secure credentials, rotate secrets, and handle provider rate limits.
- Run migrations, backups, restores, and dependency updates.
- Test the critical journey after every model, API, or hosting change.
- Monitor failures and fix the edge cases a first prompt will miss.

## Risk

**Manageable.** A personal version is realistic if you test the critical journey and keep reliable backups.

Editorial confidence in this assessment: high. No independent one-shot implementation is linked yet.

## Prior art

Working open-source software you can read, fork, or borrow from before starting:

- [OpenVoice](https://github.com/myshell-ai/OpenVoice) — Open-source voice cloning/TTS research implementation; useful prior art but not full SaaS 

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Generated by [Can It Be Vibe Coded?](https://www.canitbevibecoded.com) · Full report: https://www.canitbevibecoded.com/elevenlabs