What people actually say about BiBi Keyboard

8 mentions across 1 sources · 62% positive · researched Sep 22, 2026

GitHub

What users praise

  • • Ten-plus ASR engines from Volcengine and Soniox to offline SenseVoice give real provider choice
  • • Fully offline recognition with local models means dictation works with zero cloud dependency
  • • Floating ball triggers voice input from any app without switching keyboards

What frustrates them

  • • AI polish sometimes fails to replace the original text, leaving duplicate output
  • • Floating ball can't dock right on Xiaomi foldables, even with manual drag
  • • No screen-on option during long voice sessions; recognition can stop when display sleeps

This is a summary. The full report adds every quote we found, a per-source breakdown, recurring themes, hidden costs and the learning curve — run a free scan below, or see the full BiBi Keyboard review.

What comes up again and again about BiBi Keyboard

Recurring themes across everything we collected, with where each one showed up.

  • Engine breadth is the headline value — users actively request new ASR providers and get them

    praised · seen on GitHub

  • Pro-tier LLM post-processing has real reliability gaps (duplicate text, model resets)

    criticised · seen on GitHub

  • Maintainers close issues quickly, which buys goodwill even from users filing bugs

    praised · seen on GitHub

  • Cross-keyboard integration via floating ball is valuable but buggy on specific hardware

    mixed · seen on GitHub

  • Long-form dictation lacks quality-of-life controls like screen-on and background persistence

    criticised · seen on GitHub

  • IME-switching workflows (Trime, Fcitx5/Lexi) are a niche but vocal user base

    praised · seen on GitHub

How hard is BiBi Keyboard to learn?

Users describe it as intermediate · typically A few hours to get going

Where people get stuck

  • • Obtaining and pasting API keys for cloud ASR providers
  • • Downloading and configuring offline models like SenseVoice or Paraformer
  • • Understanding the floating ball vs. keyboard-switch workflow
  • • Configuring LLM post-processing prompts to get useful output

Who BiBi Keyboard actually suits

Works well for

  • • Android power users who want to pick their own ASR provider
  • • Privacy-conscious users who need fully offline speech recognition
  • • Cantonese/Mandarin-heavy typists who want Traditional Chinese conversion
  • • Trime or Fcitx5/Lexi users who want embedded voice input
  • • Long-form note takers who dictate and want LLM polishing

Not the right fit for

  • • Users who want a zero-config, works-out-of-the-box keyboard experience
  • • Anyone unwilling to obtain cloud API keys or download offline model weights
  • • iPhone users — this is Android-only
  • • Minimalist users who don't need provider choice and are happy with Gboard voice typing

What people are discussing right now

Discussion volume is low and trending stable

  • ASR engine additions (Volcengine, Soniox)
  • Qwen3-ASR prefix bugs and offline model switching
  • Floating ball behavior on foldables
  • Screen-on behavior during long dictation
  • IME integration with Trime and Fcitx5
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What people really think about BiBi Keyboard

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What's inside your BiBi Keyboard report

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What do people complain about most with BiBi Keyboard?

The complaints that recur most often are AI polish sometimes fails to replace the original text, leaving duplicate output, floating ball can't dock right on Xiaomi foldables, even with manual drag and no screen-on option during long voice sessions, recognition can stop when display sleeps. Drawn from 8 mentions across 1 sources.

What do users like about BiBi Keyboard?

Users consistently praise ten-plus ASR engines from Volcengine and Soniox to offline SenseVoice give real provider choice, fully offline recognition with local models means dictation works with zero cloud dependency and floating ball triggers voice input from any app without switching keyboards.

Is BiBi Keyboard hard to learn?

Users describe it as intermediate; most people are up and running in a few hours; the usual sticking points are obtaining and pasting API keys for cloud ASR providers and downloading and configuring offline models like SenseVoice or Paraformer.

Who should not use BiBi Keyboard?

Based on what users report, it is a poor fit for users who want a zero-config, works-out-of-the-box keyboard experience, anyone unwilling to obtain cloud API keys or download offline model weights and iPhone users — this is Android-only.

What are people saying about BiBi Keyboard right now?

Discussion volume is low and trending stable. Current topics: ASR engine additions (Volcengine, Soniox), Qwen3-ASR prefix bugs and offline model switching and floating ball behavior on foldables.

How current is this report?

Each scan runs live the moment you click — it reflects what people are saying now, and every report lists the dated mentions behind it.

Can I download it?

Yes — download the full report as a polished, shareable PDF.

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