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Dicty vs EasyCommand

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Dicty compared with EasyCommand
DetailDicty logo Dicty EasyCommand
What it doesFree voice-to-text app for developers that transcribes audio, translates languages, and integrates directly with Git workflows Fine-tuned small models for English-to-Bash command generation
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFreemium Open source
PricingStarter: Free forever. Pro: $4/month (or yearly with 17% savings). Early Supporter: $99 one-time for lifetime access with all Pro features. Not given
Key features
  • Local offline Whisper speech models (Nano to Large V3 Turbo) with one-click switching
  • Real-time translation across 90+ languages
  • Git context integration with automatic PR and commit linking
  • Voice-to-Knowledge Engine reconciliation with living documentation
  • Multi-vault sync to Obsidian, Notion, Confluence, GitHub, Linear
  • Audio and video file transcription with batch processing
  • Text-to-speech synthesis with Kokoro and Silero local neural engines
  • Support for 400+ local and cloud language models including Claude, GPT, DeepSeek
  • Metal GPU acceleration on Mac and AVX2 CPU optimization on Windows
  • 1.5B and 0.6B fine-tuned models
  • 401,975 synthetic training examples
  • 4-bit quantized models
  • CLI with llama.cpp integration
  • Command preview mode
  • Covers file operations, text processing, Git, archives, networking
  • Training data and checkpoints available
  • Apache 2.0 and MIT licensed
  • ALFA-updated benchmark evaluation
  • Supervised fine-tuning with LoRA
What makes it different
  • Cross-platform native app for both macOS and Windows with hardware acceleration
  • Complete offline operation with zero audio retention or external server dependency
  • Modular design allowing swapping of any speech recognizer and language model without vendor lock-in
  • Living documentation engine that reconciles voice input with Git diffs to prevent decay
  • 70.7% pass rate on ALFA-updated benchmark vs 63.7% for competing models
  • CPU-friendly quantized models
  • Specialized for bash command generation from natural language
  • Agentically trained with synthetic data generation and evaluation
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)1 no change since last check36 no change since last check
Trust Flow (Majestic)36
Citation Flow (Majestic)2332
Referring domains (Majestic)14219

4 details filled in for both companies.

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