Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for audio AI builders and product teams prototyping multilingual TTS: test quality and latency on consenting voices only, and review the compute requirements before promising real-time use.
Where this stands now
OpenBMB/VoxCPM (VoxCPM2 TTS) ranks #817 of 3231 tracked Radar items by composite score (7.7 against a section median of 4.9). The section currently carries 2115 Bronze, 645 Gold, 471 Silver. RepoRadar has retained observations for this record since 2026-06-16 (116 days in the current window). Signal extremes versus the section: momentum at the 92th percentile; novelty at the 72th percentile.
Who should use it
Who should skip it
Hold off on OpenBMB/VoxCPM (VoxCPM2 TTS) for mission-critical workflows without a containment strategy, explicit approvals, and a hands-on security review.
About this signal
OpenBMB/VoxCPM (VoxCPM2 TTS) is tracked by RepoRadar as a model release in the Radar section. First seen 2026-06-16; the source record was last checked on 2026-06-16. The current verdict is 'watch' with a Gold tier and hard setup difficulty. Across RepoRadar's eight signals, OpenBMB/VoxCPM (VoxCPM2 TTS) is strongest on momentum (9.0) and open-source/build quality (8.4) and weakest on setup ease (4.2) — a profile worth weighing against your own priorities. This page summarizes the public evidence on the linked source page and states where additional review is still needed.
How this item is evaluated
The OpenBMB/VoxCPM (VoxCPM2 TTS) record combines a 7.7/10 composite score with separate popularity (84.0), risk (medium), and setup (hard) signals. See the scoring methodology for the current weights and evidence definitions.
Questions worth asking before you adopt this
Putting this into practice? Read Local AI vs. hosted APIs: how to choose for the checklist behind this score.
Risk explanation
voice cloning requires consent and abuse safeguards; larger speech models can require significant compute.