Comparison
Talqo vs Natively
Side-by-side comparison of features, pricing, architecture, and privacy. All facts are from public sources.
Why choose Talqo over Natively?
- Your data never leaves your Mac - no cloud servers, no accounts, no breach surface.
- Bring your own Anthropic API key - pay only for what you use (~$1-2 per interview).
- Native macOS app built in Swift - lower memory usage than Electron alternatives.
- Four distinct AI modes with per-mode model configuration.
- Preset system for saving complete session configurations.
- Ambient analysis detects conversation gaps every 60 seconds.
AI Interview Copilot FAQ
Talqo is a native macOS app that acts as a real-time AI copilot during interviews and meetings. It captures audio from your microphone and system, transcribes it live, and provides on-demand AI assistance through four modes: screenshot analysis, suggested responses, follow-up questions, and freeform queries.
No. Talqo has zero backend servers. Audio, transcripts, and session data stay on your Mac in ~/Documents/Talqo. The only outbound calls are to Anthropic (AI, using your own API key) and optionally AssemblyAI (cloud transcription). No analytics, no telemetry, no accounts.
Talqo itself is free. You bring your own Anthropic API key and pay Anthropic directly for usage - typically $1-2 per interview session. There are no subscriptions, no monthly fees, and no hidden costs.
No. Talqo uses macOS native window.sharingType = .none, which makes the overlay completely invisible to Zoom, Google Meet, Microsoft Teams, and any other screen sharing app. This is an OS-level feature, not a workaround.
Talqo supports coding interviews (with screenshot-based problem analysis), system design rounds (with architecture diagram generation), behavioral interviews (with STAR-format answers matched from your prep files), and general meetings (with contradiction detection and decision logging).
Talqo captures two separate audio streams: your microphone (you) and system audio (them). Each stream is transcribed independently via your choice of provider - local on-device STT or AssemblyAI cloud STT. Speaker identity is guaranteed by stream origin, not AI diarization.
Talqo supports multiple providers - Anthropic, OpenAI, and local servers like Ollama and LM Studio. You can assign a different provider and model to each AI mode. Route heavy analysis to Claude or GPT-4o, and fast transcript-based responses to a local model running on your Mac - instant, free, nothing leaves your machine. You control the split.
Talqo is macOS only (macOS 15+). It uses native Apple frameworks (ScreenCaptureKit, AVAudioEngine, SwiftUI) that have no cross-platform equivalent. This native approach gives lower memory usage and better OS integration than Electron-based alternatives.
Memory files are markdown documents you attach to a session - your STAR stories, job descriptions, system design notes, company research. Talqo includes them in the AI context so responses reference your actual preparation, not generic templates.
Yes. Solo Mode runs a full Talqo session with no audio capture, no recording, and no one on the other end. Practice with your memory files, test your presets, and see exactly what the AI will say before the real interview.