SpeakFlare/ Speech Hub/ Platform-Specific Communication
Platform-Specific Communication

filler words in video calls

filler words in video calls is a challenge many professionals face without realizing it. The camera adds pressure, technical interruptions break your flow, and without real-time feedback, you repeat the same habits meeting after meeting.

When it comes to filler words on video calls, most professionals never receive direct feedback. video calls meetings move fast — you are focused on content, screen sharing, and audience engagement. Meanwhile, filler words issues like filler words, grammar errors, and unclear phrasing go completely unnoticed. Without a system to catch these patterns, the same mistakes repeat in every call.

SpeakFlare connects directly to video calls and automatically captures every meeting recording. After each call, the platform transcribes every word using AssemblyAI with word-level timestamps and speaker identification. AI analysis then examines the transcript for grammar errors, filler word patterns, clarity issues, and presentation weaknesses — generating a detailed report specific to your video calls communication. No manual uploads, no extra steps.

Progress tracking is where the real improvement happens. After your first few analyzed meetings, SpeakFlare shows your baseline metrics: filler word count per minute, grammar error frequency, clarity score, and overall communication effectiveness. Each subsequent meeting updates these metrics, creating trend lines that show concrete improvement in filler words. Most users see measurable progress within two to three weeks of consistent use.

How to measure filler words

The core metric is your filler word rate — the share of your spoken words that are fillers:

Filler Word Rate = (filler words ÷ total words) × 100

Worked example: a transcript of 1,420 words containing 34 fillers:

34 ÷ 1,420 × 100 = 2.39%

The second metric, fillers per minute, normalizes for how long you spoke:

Fillers per minute = filler words ÷ minutes spoken

What counts as high?

Filler rateFillers / minHow it reads
Under 1%0–1Polished, confident
1–2%1–3Natural, professional
2–4%3–6Noticeable to listeners
Over 4%6+Distracting, reads as uncertain

Typical filler words

um · uh · like · you know · basically · literally · actually · right · so · well

How SpeakFlare works with video calls

On video calls, record or upload the meeting and SpeakFlare analyzes it automatically.

Expert Tip

Enable video calls cloud recording once and connect to SpeakFlare. Every future video calls call is analyzed automatically — no manual steps. You will have analysis reports waiting in your dashboard each morning.

Frequently asked questions

How do you calculate filler word rate?

Divide filler words by total spoken words and multiply by 100. For example, 34 fillers in 1,420 words is 34 ÷ 1,420 × 100 = 2.39%. SpeakFlare calculates this automatically for every meeting.

What is a good number of filler words per minute?

Under 3 fillers per minute reads as natural and professional. 3 to 6 becomes noticeable, and above 6 is distracting. The goal is not zero — a few fillers sound human — but consistency under 3.

Can SpeakFlare analyze video calls calls automatically?

On video calls, record or upload the meeting and SpeakFlare analyzes it automatically.

How does SpeakFlare analyze my meetings?

SpeakFlare transcribes each recording with AssemblyAI (word-level timestamps and speaker labels), then AI scores four dimensions: grammar, filler words, clarity, and presentation. You get a per-speaker report within minutes, in 50+ languages.

Analyze Your Meetings Automatically

SpeakFlare detects grammar errors, filler words, and speaking patterns across every Zoom and Google Meet call — in 50+ languages, with no manual steps.

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