How to vibe codeFliki
Turn text into videos with AI voices
fliki.ai ↗AI Video Generation & Content Creation
The verdict: can you vibe code Fliki?
You can build a functional single-user wrapper for text-to-video generation, but the asynchronous background video rendering pipeline and multi-API orchestration require significant engineering effort.
Fliki is fundamentally a complex middleware aggregator that glues together disparate third-party AI models (ElevenLabs, OpenAI, Kling, Google Veo), slices text into sentence scenes, fetches stock media, and stitches them into a rendered video. While you can easily set up a Next.js UI that calls these APIs via server actions, building a reliable asynchronous job queue that handles failed generations, precise subtitle timing synchronization, and video assembly will test your backend architecture skills. Since Fliki's individual paid tiers cost around $28/mo, paying for the service is far cheaper than building a production-grade clone, unless you are building it purely to master video rendering pipelines.
Estimated effort: 3-4 weeks of focused development
What you can't replicate
- The massive proprietary library of aggregated pre-licensed stock assets and enterprise supplier volume discounts
- The exact fine-tuned prompt engineering and latency optimization layers built over 5 years of operations
Founded
2021
Raised
—
Team
13-20
Cheapest paid tier
$28/mo
What Fliki does
An AI-powered text-to-video and text-to-speech platform that converts text prompts, scripts, blog posts, or PowerPoint presentations into fully realized videos complete with voiceovers, background music, stock or AI visuals, and burn-in captions.
Core features
- Multi-format input parsing (idea, script, blog URL, PPT/PDF upload)
- Sentence-level text segmentation and script drafting engine
- Multi-engine text-to-speech (TTS) orchestration and voice cloning
- Stock media asset search (images, video clips, music) and auto-matching
- AI video model pipeline (integration with Veo, Kling, Flux, etc.)
- Burn-in subtitle generation with customizable fonts, colors, and timing
- Background music ducking and audio mixing
- Multi-resolution video timeline rendering and export engine
The business
Pricing
- FreeFree
- Standard$28/mo
- Premium$88/mo
Funding
Unknown / bootstrapped
Pay vs build, cumulative
Break-even at month 7 — after that, every month is money kept.
The hard parts of vibe coding Fliki
- Orchestrating and error-handling asynchronous third-party AI video and TTS generation APIs at scale
- Building a responsive web timeline editor that syncs precise sentence audio boundaries with visual frames
- Managing background rendering queues without locking up the client UI
- Handling credit/token metering quotas tied to consumption-heavy media rendering
How to vibecode Fliki
Prerequisites
Node.jsfree
Required for running the Next.js full-stack development environment.
GitHubfree
Source code control and deployment pipeline integration.
OpenAI API Keypay-as-you-go
Required for text script generation and AI model prompts.
ElevenLabs API Keypay-as-you-go
Required for lifelike text-to-speech audio generation.
AI coding tools
Recommended stack
| Frontend | Next.js with Tailwind CSS and shadcn/ui |
|---|---|
| Backend | Next.js Server Actions & API Routes with Inngest for background rendering workflows |
| Database | Turso (SQLite at the edge) |
| Auth | better-auth |
| Payments | Stripe |
| Other | FFmpeg (via server execution / fluent-ffmpeg for video assembly), Resend for transactional emails |
Build guide
01Project Scaffolding and Database Schema
Initialize a Next.js project with Tailwind CSS, shadcn/ui, Turso for database storage, and better-auth for authentication.
Create a new Next.js 16 project with TypeScript, Tailwind CSS v4, and App Router. Configure Drizzle ORM to connect to Turso (SQLite). Implement a schema for users, projects (storing title, script text, aspect ratio, status), and scenes (storing scene text, audio URL, visual asset URL, duration, subtitle markers). Set up better-auth for secure credential and Google OAuth sign-in. Ensure all configuration files are fully written out and ready to run.02Script Ingestion and Scene Segmentation Engine
Build the text input parser that takes scripts, blog URLs, or ideas, and breaks them into sentence-level scenes.
Create a React component dashboard where users can input a script, paste a blog URL, or type a one-line prompt. Implement a server action that calls OpenAI to convert raw inputs into structured JSON array scenes (each containing a sentence of text, suggested visual description, and keyword tags). Display these scenes in an interactive script editor UI using shadcn/ui components, allowing users to edit text, reorder scenes, or delete segments.03Text-to-Speech Audio Generation Integration
Integrate ElevenLabs API to generate realistic voiceovers for each scene and calculate duration markers.
Build an API route and server utility that integrates with the ElevenLabs API. When a user finalizes their scenes, loop through each scene's text, send it to ElevenLabs with a selected voice ID, and save the resulting audio file to cloud storage (or local tmp storage). Retrieve and store the exact audio duration for each scene to drive timeline synchronization. Display audio playback controls next to each scene in the editor.04Visual Asset Pairing and Stock Media Search
Implement stock media asset search and image generation prompts to assign background visuals to each scene.
Integrate Unsplash and Pexels APIs (or stock fallback placeholders) into the project. For each scene, use the scene's keyword tags to fetch matching background stock images or video clips. Provide a media picker modal in the UI allowing users to search and swap background visuals for any scene with a single click.05Asynchronous Video Rendering Pipeline with FFmpeg
Build a background worker pipeline that combines audio tracks, background visuals, and burn-in subtitles into a final MP4 video.
Create a robust background worker service using FFmpeg (via fluent-ffmpeg in a Node.js container or Fly.io worker). The worker must take a project's compiled scenes (audio files + background images/clips + subtitle text), generate subtitle SRT files, apply audio ducking, stitch the scenes together with smooth transitions, and render a final 1080p MP4 export in the requested aspect ratio (16:9, 9:16, 1:1). Handle progress updates and save the rendered video URL to the database.06Video Player, Timeline Preview, and Export Dashboard
Build the final export dashboard and video player interface where users can preview rendered videos and download or share them.
Build a video preview and management dashboard in Next.js. Display rendering job status in real time (polling or WebSockets). Once a video finishes rendering, embed a custom HTML5 video player allowing users to preview the final output, adjust export settings, download the MP4 file locally, or copy a public share link.
Cost vs paying for Fliki
What will you build it with?
Starting total with Claude Code$0 one-time
Starting costs (one-time)
- AI coding tool subscription$20
Total$20 one-time
Ongoing costs (monthly)
- Vercel / Fly.io Hosting$10/mo
- ElevenLabs & OpenAI API usage$15/mo
Total~$25/mo
Paying for Fliki
$28/mo (Standard Plan)
Your time to build
45-60 hours
AI tool credits
$20 (Claude Pro / Cursor)
Break-even
Not a financial arbitrage (built for learning)
Vibe code Fliki: FAQ
- Can you vibe code Fliki yourself?
- Serious undertaking — 45/100 vibecodeable. You can build a functional single-user wrapper for text-to-video generation, but the asynchronous background video rendering pipeline and multi-API orchestration require significant engineering effort.
- How long does it take to vibe code Fliki?
- 3-4 weeks of focused development — roughly 45-60 hours of hands-on time with an AI coding agent.
- How do you build your own Fliki?
- Scoped to personal use: Next.js with Tailwind CSS and shadcn/ui on the front, Next.js Server Actions & API Routes with Inngest for background rendering workflows behind it, Turso (SQLite at the edge) 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 Fliki 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 development. The prompts on this page are written so the AI does the heavy lifting.
- How much does it cost to vibe code Fliki instead of paying?
- About $20 one-time to start and ~$25/mo to run, versus $28/mo (Standard Plan) for Fliki. Break-even: Not a financial arbitrage (built for learning).
- What stack should you use to vibe code Fliki?
- Next.js with Tailwind CSS and shadcn/ui; Next.js Server Actions & API Routes with Inngest for background rendering workflows; Turso (SQLite at the edge); plus FFmpeg (via server execution / fluent-ffmpeg for video assembly), Resend for transactional emails.