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Transcriptr

Transcriptr Used AI

3 devlogs
6h 8m
•  Ship certified
Created by aramb-dev

Transcriptr is a modern web application that converts audio files to text using artificial intelligence. It provides a clean, intuitive interface for uploading audio files and receiving high-quality transcriptions powered by Replicate's Incredibly Fast Whisper model.

Timeline

Ship 1

1 payout of shell 27.0 shells

aramb-dev

about 1 month ago

aramb-dev Covers 3 devlogs and 6h 8m

Adds the Peerlist project embed badge to the footer on both desktop and mobile layouts. This helps increase project visibility and showcases it on the Peerlist platform.

Update attachment

phew! after hassling and trying to add cloud convert functionality, i felt that the old transcription result component was super ugly, so i refactored it with some design help from claude

Hereby I present to you:

🎉 Transcriptr v2.1.0 Update - Enhanced Download System!

Hey everyone! We're excited to announce Transcriptr v2.1.0 with some fantastic new features that make working with your transcriptions even better! 📄✨

🆕 What's New

📥 Multi-Format Download System

Your transcriptions are now available in 4 different formats:
- 📝 TXT - Plain text for simple sharing
- 📋 Markdown - Structured format with headings

- 📄 DOCX - Professional Word documents
- 🔴 PDF - Print-ready documents with proper formatting

All accessible from a sleek dropdown menu with beautiful icons! 🎨

🌍 Smart Arabic Language Support

  • Automatic detection of Arabic text in your transcriptions
  • Clear beta warnings for DOCX and PDF formats when using Arabic
  • Helpful recommendations to use TXT or Markdown for best Arabic compatibility
  • User-friendly notices explaining format limitations

🎨 Beautiful UI Improvements

  • Unified card design - Clean, mobile-inspired layout
  • Enhanced dropdown visibility - Solid backgrounds with proper contrast
  • Professional document generation - Real DOCX files with proper structure
  • Optimized performance - Better memory management and faster downloads

🔧 Technical Enhancements

📄 Real Document Generation

  • DOCX files now use the proper docx library for authentic Word documents
  • PDF files feature automatic text wrapping and professional layout
  • Markdown exports include structured headings and formatting

🌐 Internationalization

  • Unicode detection for Arabic text using comprehensive character ranges
  • Format-specific warnings that appear only when relevant
  • Smart recommendations based on language detection

🚀 Continued Universal Audio Support

Don't forget about our existing 15+ audio format support:
- iPhone recordings (M4A) ✅
- Windows media (WMA) ✅

- Professional formats (AIFF, CAF) ✅
- All major formats with automatic conversion ✅

💡 What This Means for You

  1. More flexibility - Choose the perfect format for your needs
  2. Better workflow integration - DOCX files work perfectly with Word, Google Docs
  3. Print-ready documents - PDFs look professional and format consistently
  4. Arabic language support - Clear guidance for non-Latin script users
  5. Cleaner interface - Everything organized and easy to find

🎯 Perfect For:

  • Students sharing notes in different formats
  • Professionals creating formal documents
  • Content creators working with transcripts
  • International users working with Arabic content
  • Anyone who wants flexibility in their workflow

Try it out now at transcriptr.aramb.dev and let us know what you think!

Update attachment

V2 is here!

Welcome to the completely redesigned Transcriptr! We've rebuilt the entire platform from the ground up to deliver a faster, more reliable, and feature-rich transcription experience.

Lightning Fast Performance
Completely rewritten with Next.js for blazing-fast load times and seamless user experience.

Enhanced Reliability
Improved error handling, better file format support, and automatic retry mechanisms for failed transcriptions.

Modern Interface
Beautiful new design with improved accessibility, better mobile support, and intuitive user workflows.

Ready to experience the future of transcription? Upload your first file and see the difference!