Product updates, guides, and engineering notes from the team.
Prepare Chinese PDFs for speech by checking extraction, segmentation, polyphonic characters, names, numbers, code-switching, and punctuation.
Discover how sub-50ms text-to-speech latency transforms static PDFs into engaging two-host audio dialogues. Learn why speed defines the future of document to podcast conversion.
Review sensitivity, permissions, retention, model use, storage, sharing, and deletion before converting a private document to audio.
Toggling audio outputs on macOS through menus wastes time. Hotkey-based switching keeps creators in flow, especially when working with AI-generated audio.
Create accurate speaker labels, meaningful non-speech notes, chapters, links, and a transcript that works beyond the audio player.
Verify claims, numbers, quotations, scope, and uncertainty before publishing an AI-generated podcast from source documents.
A practical, evidence-aware guide to deciding when to listen, when to read, and how to combine both without learning-style myths.
Design distinct host roles, useful questions, transitions, evidence checks, and pacing for a natural two-person podcast script.
Diagnose image-only PDFs, run OCR, verify reading order and multilingual text, and prepare a reliable source for audio.
Turn an academic paper into a useful listening workflow while preserving methods, uncertainty, figures, and citations.
A practical preflight checklist for turning reports, PDFs, notes, and web pages into an accurate, listenable AI podcast.
