Summaraize
Speech-to-text, document conversion, summarization, and text-to-speech with credits.
Overview
Summaraize is a Next.js application that turns messy, time-consuming inputs (meeting audio, lecture recordings, PDFs, scanned images, long documents) into structured outputs: transcripts, summaries, and natural-sounding audio. It supports voice and document workflows and enforces a credit-based usage model with cost estimation and deduction at API boundaries.
Core Problem Solved
- Manual transcription is slow and error-prone
- Information overload in long documents
- Paper/scanned content is hard to search
- Accessibility and learning preferences via text-to-speech
- Unpredictable cost and abuse risk in AI apps via credits
Target User
Students, educators, professionals, creators, and teams needing fast transcription and summaries.
Media
Workflow demo (placeholder)
Key Features
- Voice Assistant: record/upload audio → transcribe → summarize → generate AI voice
- Document Converter: PDF/image/text → extract (including OCR) → summarize → generate AI voice
- Provider fallback for summarization (DeepSeek → OpenAI)
- Credit estimation and enforcement at API boundaries
- Stripe checkout + webhooks for credits/subscriptions
- SEO blog with Open Graph, JSON-LD, and sitemap generation
- Analytics integrations gated behind cookie consent where applicable
Tech Stack
- Next.js (App Router) + React + TypeScript
- Tailwind CSS + shadcn/ui (Radix UI primitives)
- Supabase (Auth, Postgres, Storage)
- Stripe (Checkout + Webhooks)
- Deepgram (speech-to-text)
- DeepSeek + OpenAI (summarization + extraction)
- Google Cloud Text-to-Speech