Guides on AI voice, vision & context
Hands-on buyer’s guides to the best speech-to-text, text-to-speech, and image models — plus how we think about capturing context for AI agents. Written by the team building Eavesy.
Best speech-to-text AI models in 2026: a builder’s buyer’s guide
A practical, up-to-date comparison of the best speech-to-text (STT) models and APIs in 2026 — Deepgram, AssemblyAI, OpenAI, ElevenLabs, Whisper, NVIDIA Parakeet and more — with pricing, real-time support, and which to pick for your use case.
Read guideBest text-to-speech AI models in 2026: the complete comparison
A current, hands-on guide to the best text-to-speech (TTS) and AI voice models in 2026 — ElevenLabs, OpenAI, Google, Cartesia, Hume, PlayHT and open-source options like Kokoro — with pricing, voice cloning, latency, and which to choose.
Best AI image generation models in 2026: which one to actually use
A current comparison of the best AI image generation models in 2026 — GPT Image 2, Google Imagen 4 and Nano Banana, Midjourney, FLUX.2, Ideogram, Adobe Firefly and more — ranked by use case, with pricing, API availability, and text-in-image quality.
Introducing Eavesy — context capture for your AI
Why we built a recorder that turns what you see and say into a brief your AI agent can actually use.
How to take better meeting notes (without taking notes)
A practical guide to capturing decisions and action items — and why letting a tool handle the transcript makes you a better participant and gives your AI the context it needs.
Bot-free vs. bot-based meeting recorders — what's the difference?
Why some AI note takers join your call as a bot, what that costs you, and how recording system audio works instead.