How to vibe codeSpeechify
Text to Speech & Voice Typing AI Assistant
speechify.com ↗AI Productivity & Audio
The verdict: can you vibe code Speechify?
Build a personal web-based reader with ElevenLabs integration, but paying is the rational choice if you need seamless native apps and mobile background playback.
Replicating the core loop—uploading a PDF or pasting text, converting it via high-end TTS, and listening with word highlighting—is an achievable side project using a web stack and the ElevenLabs API. However, matching Speechify's multi-platform footprint (native iOS, Android, macOS, Windows apps, and browser extensions) requires massive multi-client engineering effort. For personal use, building a web dashboard with a clean audio player is a rewarding 2-week build, but you will miss the deep OS-level hooks of the real app.
Estimated effort: 2-3 weeks part-time
What you can't replicate
- Ecosystem ubiquity across native mobile apps, desktop shells, and browser extensions
- Proprietary low-latency custom neural TTS models optimized for extreme speed listening
- Massive organic user network and influencer-driven brand trust
Founded
2016
Raised
—
Team
160-192
Cheapest paid tier
$29 / month
What Speechify does
Cross-platform voice AI productivity assistant that turns digital text, PDFs, and web pages into natural-sounding speech at up to 5x speeds, featuring voice dictation, OCR scanning, and AI summaries.
Core features
- Document ingestion and parsing (PDF, EPUB, TXT, web links)
- Neural text-to-speech rendering with variable speeds up to 5x
- Synchronized word-level text highlighting during playback
- Audio buffer management and offline file caching
- OCR camera scanning for physical book pages
- Voice typing dictation with filler word removal
- Conversational AI assistant for document Q&A and summaries
The business
Pricing
- FreeFree
- Premium$29 / month
Funding
Unknown / bootstrapped
Pay vs build, cumulative
Break-even at month 2 — after that, every month is money kept.
The hard parts of vibe coding Speechify
- High-speed audio streaming and client-side playback caching at 5x speed without audio artifacting or sync drift
- Precise word-level timestamp alignment from TTS APIs to drive real-time visual karaoke text highlighting
- Multi-platform synchronization keeping reading position and document libraries consistent across web, extension, and mobile
- Robust document parsing and local OCR pipeline for messy mobile camera snapshots and complex PDF layouts
How to vibecode Speechify
Prerequisites
Node.jsfree
Runtime environment for the Next.js full-stack web application.
GitHubfree
Source control and deployment pipeline integration.
ElevenLabs AccountUsage-based (~$5/mo starter tier)
Provides high-quality natural text-to-speech audio generation.
AI coding tools
Recommended stack
| Frontend | Next.js |
|---|---|
| Backend | Next.js API Routes |
| Database | Turso |
| Auth | better-auth |
| Payments | none |
| Other | ElevenLabs API, OpenAI API, Vercel AI SDK, Tailwind CSS |
Hosting & infrastructure
| Cloudflare | Hosting the Next.js frontend and storing uploaded PDF/audio documents in R2 object storage. | $0-5/mo |
Build guide
01Project Scaffolding & Database Schema
Initialize the Next.js application with Tailwind CSS, configure Turso SQLite database connection, and set up better-auth for personal single-user authentication.
Scaffold a new Next.js full-stack application using App Router and TypeScript. Install Tailwind CSS and configure a Turso SQLite database client via libSQL. Set up better-auth with email/password authentication for a single-user setup. Create database tables for 'documents' (id, title, content, file_url, created_at) and 'audio_tracks' (id, document_id, audio_url, duration, timestamps_json). Verify the database connection and ensure the app boots cleanly with a landing page and protected dashboard route.02Document Upload & Text Extraction
Build document upload handling for PDFs and text files, extracting raw text and storing files in Cloudflare R2 object storage.
Build a document ingestion pipeline in Next.js. Create an API endpoint and a drag-and-drop dashboard UI where users can upload PDF, EPUB, or TXT files. Use 'pdf-parse' or similar libraries server-side to extract all raw text content from uploaded files. Store the original file in Cloudflare R2 object storage and save the extracted text and metadata into the Turso 'documents' table. Display a list of uploaded documents on the dashboard with search and deletion capabilities.03ElevenLabs TTS Pipeline & Audio Generation
Implement server-side integration with the ElevenLabs API to convert document text into natural speech audio files.
Implement a text-to-speech conversion service using the ElevenLabs API in Next.js. Create an API route that takes a document ID or text snippet, chunks the text to respect character limits, and calls ElevenLabs to generate an MP3 audio file with word-level timestamps if available. Store the resulting audio file in Cloudflare R2 and save the audio record linked to the document. Add a 'Generate Audio' button on the document view page with loading states and progress feedback.04Audio Player & Karaokes Text Highlighting
Build a feature-rich web audio player with variable speed controls (up to 3x-5x) and synchronized text highlighting.
Build a persistent audio player component in React that supports playback, pause, seeking, and variable playback speeds (1x, 1.5x, 2x, 3x). Integrate it with HTML5 audio elements. Alongside the player, render the document text in a reader view. Implement text-highlighting synchronization that tracks the current audio currentTime against word timestamps or estimated character progression, visually highlighting the active sentence or word in real-time as the audio plays.05Voice AI Assistant & Summaries
Add an AI chat and summary sidebar using OpenAI and the Vercel AI SDK to answer questions about the active document.
Integrate the Vercel AI SDK and OpenAI API to create a 'Voice AI Assistant' sidebar alongside the reader view. Create an API endpoint that injects the current document's extracted text as system context. Build a chat UI component where users can ask questions, request instant summaries, or generate quiz questions about the document content. Ensure streaming responses render smoothly in real-time.
Cost vs paying for Speechify
What will you build it with?
Starting total with Claude Code$0 one-time
Starting costs (one-time)
- AI Coding Assistant subscription$20
Total$20 one-time
Ongoing costs (monthly)
- Cloudflare Workers & R2 Storage$5/mo
- ElevenLabs API Usage (Personal TTS)$5-10/mo
Total~$12/mo
Paying for Speechify
$29/mo
Your time to build
25-35 hours
AI tool credits
$20 (Claude Code / Cursor Pro)
Break-even
Under 1 month of heavy usage
Vibe code Speechify: FAQ
- Can you vibe code Speechify yourself?
- Solid side project — 68/100 vibecodeable. Build a personal web-based reader with ElevenLabs integration, but paying is the rational choice if you need seamless native apps and mobile background playback.
- How long does it take to vibe code Speechify?
- 2-3 weeks part-time — roughly 25-35 hours of hands-on time with an AI coding agent.
- How do you build your own Speechify?
- Scoped to personal use: Next.js on the front, Next.js API Routes behind it, Turso for data. Follow the 5-step build guide on this page — each step has a paste-ready prompt for an AI coding agent.
- How do you code your own Speechify 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: 2-3 weeks part-time. The prompts on this page are written so the AI does the heavy lifting.
- How much does it cost to vibe code Speechify instead of paying?
- About $20 one-time to start and ~$12/mo to run, versus $29/mo for Speechify. Break-even: Under 1 month of heavy usage.
- What stack should you use to vibe code Speechify?
- Next.js; Next.js API Routes; Turso; plus ElevenLabs API, OpenAI API, Vercel AI SDK, Tailwind CSS.