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Release log.

Every major iteration of Orator, newest first. Orator is still in active development, so the latest version is a pre-release. We version what we build and keep working within the version line.

Versioned, not dated. The number is the reference.

0.9It speaksIn development

The whole pipeline now runs end to end on one machine: outline in, narrated video out. Coming soon.

  • Write a markdown outline; your notes on each slide become the narration script.
  • Slides render to full 1080p frames and assemble into a chaptered MP4 — chapters come straight from your headings.
  • Narration is spoken by a neural voice running entirely on your machine: no cloud, no credits, no per-minute fees.
  • Unlimited length by design. On the roadmap: theme and brand kits, more voices, captions timed from the narration itself.
0.6.0Theme gallery

A full gallery of distinct, professional slide themes, each checked for accessible contrast.

  • Ten distinct presentation themes plus a clean plain baseline, so your videos do not all look alike.
  • Editorial and Swiss typographic styles join the set, each visually its own.
  • Every theme self-tests against WCAG AA contrast before it can ship a slide.
0.5.0The design system

Slides stopped being an afterthought and became a real design system.

  • A structured slide model turns each section of your document into a deliberate layout instead of a wall of text.
  • Built-in writing checks trim cliches, redundancy, and overlong headlines as slides are generated.
  • A theme contract and registry keep every theme consistent and accessible by construction.
0.4.0Slides that cite their sources

Slides gained real structure and properly credited imagery.

  • A clear authoring format for terms, definitions, and section frames, validated before any video is built.
  • A licensed-image pipeline that pulls from open sources and embeds the correct credit automatically.
  • Accessible term-and-definition slide templates with readable type and color-safe palettes.
0.3.0Speaks it right

The narration learned to pronounce the hard parts.

  • A phonetics layer so acronyms and technical terms are spoken naturally instead of spelled out wrong.
  • Long documents split cleanly into per-section micro-lectures with a batch renderer.
0.2.0The pipeline

The four-stage path from document to finished video came together.

  • Parse your markdown into sections, narrate each in your cloned voice, render slides from the same source, and compose a final MP4.
  • Each slide holds for exactly the length of its narration.
0.1.0First build

Where it began.

  • Initial scaffolding for a local document-to-video tool: your voice, your content, your machine.