# YazSes v2.3.0-dev.1 — Wave G ship-now tier (developer preview)

**Pre-release · not published** (publish workflows are pinned to `v0.x`/`v1.x`; v2 dev tags do
not ship). **v1.4.1 remains the stable release.** Every feature is **OFF by default**.

Opens **Wave G** — a fresh 2026 SoA round (10 candidate features distinct from the prior 44) in
`design/vision/v2-research/09-wave-g.md` + `design/adr/adr-v2-045..048`. The four ship-now,
dependency-light features:

## New features (all off by default)

- **Entity ITN** (ADR-v2-045, `[itn]`) — turns spoken structured entities into written form with
  no command words: "john dot doe at gmail dot com" → the email, "version two point one" → v2.1.
  Wired on the dictate path. Targets the biggest daily dictation friction.
- **Redaction Ink** (ADR-v2-046, `[redaction]`) — detects spoken secrets (card numbers via Luhn,
  SSNs, API keys, emails, IPs, phones) and masks them *before they're typed into another window*.
  Wired on the dictate path; `mask`/`hold` modes.
- **Field-Aware Dictation** (ADR-v2-047, `[fieldaware]`) — reshapes output to the focused control:
  number field → digits, search box → no trailing period, **password field → refuses to type**.
- **Corpus Voiceprint Scrub** (ADR-v2-048, `[learning] anonymize_audio`) — speaker-anonymizes
  learning-corpus audio before storage, so retained clips keep *what* was said but not an
  identifiable *voice*. Wired in the corpus writer.

`yazses features` now lists **59 capabilities**.

## Wave G backlog (medium / hardware-gated)
Screen-Grounded Dictation, Compose-in-Target-Language, Silent Lip-Reading, Head-Pointer,
Grammar Repair, Sign-Language Input.

## Quality
1124 tests green across Linux × macOS × Windows on Python 3.11 and 3.12. Every Wave G core is
unit-tested to 100%; the heavy tiers (neural ITN, GLiNER PII, kNN-VC anonymizer) stay lazy
behind optional extras. The default install and the v1 dictation path are unchanged.