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Teller v0.1.0

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@boldbug1 boldbug1 released this 12 Nov 11:57
0.1.0
1505088

Teller transforms plain-text manuscripts, classic books, and dialogue scripts into fully voiced audio dramas. It identifies characters, segments dialogue from narration, assigns distinct voices, synthesizes speech ahead of playback, and exports stitched master audiobooks.

Key Capabilities

  • Automated Dialogue Tagging & Character Extraction:

    • Automatically identifies speakers, emotional delivery, and narration blocks across multi-scene manuscripts.
    • Pluggable LLM analysis powered by Groq (defaulting to openai/gpt-oss-120b and qwen/qwen3.8-27b), Google Gemini, or local Ollama instances.
    • Robust offline heuristic fallback for air-gapped or offline workflows.

  • Dual Speech Synthesis (TTS) Backends:

    • Kokoro ONNX: High-speed, local neural text-to-speech running entirely on CPU/GPU without cloud roundtrips or API costs.
    • ElevenLabs: Expressive, high-fidelity cloud voices with multilingual support and automatic character profile matching.

  • Synchronized Stage & Karaoke Highlighting:

    • Word-by-word synchronized highlighting during playback.
    • Floating dialogue flow highlighting the active line while dimming surrounding context.
    • Live transport scrubber, playback rate controls, and segment-jumping.

  • Persistent Character Cast & Auto-Casting:

    • Maintains persistent character identities and gender/trait profiles across chapters.
    • One-click auto-casting maps voices by age, gender, and archetype.
    • Per-character voice auditioning and reassignment.

  • Deterministic Audio Caching & Master WAV Export:

    • Segment-level audio cache ensures you only synthesize lines once.
    • Export the full story as a gap-padded, continuous WAV audiobook.

  • Native Windows Experience:

    • Built with Tauri v2 and React 19.
    • Custom borderless titlebar, paper-theatre aesthetic, and dark/light system adaptation.
    • Secure credential storage: API keys are stored in the Windows Credential Manager / DPAPI keyring and never written to plain text or repository files.

Downloads & Assets (Windows 64-bit)

File Type Description
Teller_0.1.0_x64-setup.exe Setup Executable Recommended installer with automatic desktop shortcut and uninstaller
Teller_0.1.0_x64_en-US.msi MSI Package Standard Windows Installer package for system deployments
teller-desktop.exe Portable Executable Standalone desktop binary (requires Python sidecar in same folder or PATH)

Checksums (SHA-256)

943C7935078A02C115FF12DB6BE1327E9FF8A99A920966F9E233747CD8BDBB01  Teller_0.1.0_x64-setup.exe
D63641F2B1F4AE859FDD18CBF9AFEF483C1ADB2FE929DF021F64ED0BF1EB69FE  Teller_0.1.0_x64_en-US.msi
4D74E0D3BA407132DA2718FFBE217BF03CC7D9B520E287E96B72462971FEBB3E  teller-desktop.exe

Quick Start

  1. Download and run Teller_0.1.0_x64-setup.exe.
  2. Follow the setup wizard to complete installation.
  3. Open Teller from the Start Menu or Desktop shortcut.
  4. Click Settings to add your Groq or ElevenLabs API key if using cloud models (or use local Kokoro TTS out of the box).
  5. Drag and drop any .txt, .md, .pdf, or .docx story file into Teller to begin.
Assets 5
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