Speaking Time Estimator

Overview

You pass text (or a file_ref) and a delivery style — slow at 110, neutral at 130, fast at 160 words per minute, or custom with your own rate; we count the words, divide, and return the duration in seconds and minutes, a slower/faster band around it, and the arithmetic we used. Treat the number as an estimate — pauses and audience interaction are not in it.

Speaking pace varies by delivery style. We expose preset WPM rates and return an uncertainty band so you can plan rehearsals without guessing.

When to use it

Scope

Non-goals

• Does not account for pauses, audience interaction, or slide transitions
• Does not model breathing patterns or emphasis
• Does not predict actual stage delivery — only a WPM-based estimate

Properties

Capabilities

Cost & billing

Flat rate per invocation

File handling

File limits

Constraints this skill applies to your input and generated files. The “Limited by” column shows the static source of each cap; none of these can be raised by upgrading your plan.

How we handle your data

Input schema

Output schema

API contract

curl -sS -X POST "$BASE/v1/execute" -H "Authorization: Bearer $KEY" -H 'Content-Type: application/json' -d '{"skillKey":"text.estimate_speaking_time","input":{"text":"Your speech text here.","delivery_style":"neutral"}}'

import { Squillify } from "@squillify/sdk";

const sq = new Squillify({ apiKey: process.env.SQUILLIFY_API_KEY });

const { output } = await sq.execute("text.estimate_speaking_time", {"delivery_style":"neutral","text":"Good morning everyone. Today I will discuss the evolution of microservice architectures and how event-driven patterns have transformed the way we build distributed systems at scale."});

Errors

Other limits

Limitations

• Does not account for pauses, audience interaction, or slide transitions
• Does not model breathing patterns or emphasis
• Does not predict actual stage delivery — only a WPM-based estimate
• Precise theatrical or performance timing
• Sessions with significant Q&A or audience interaction
• Reading-time estimates (use text.estimate_reading_time)

How to call

POST /v1/execute (requires authentication)

{
  "skillKey": "text.estimate_speaking_time",
  "input": {
    "delivery_style": "neutral",
    "text": "Good morning everyone. Today I will discuss the evolution of microservice architectures and how event-driven patterns have transformed the way we build distributed systems at scale."
  }
}

Examples

{
  "delivery_style": "neutral",
  "text": "Good morning everyone. Today I will discuss the evolution of microservice architectures and how event-driven patterns have transformed the way we build distributed systems at scale."
}

{
  "warnings": [
    "Speaking time is an estimate based on assumed words per minute."
  ],
  "unit": "seconds",
  "policy": "words_per_minute",
  "details": {
    "word_count": 26,
    "words_per_minute": 130,
    "rounding": "nearest_second",
    "delivery_style": "neutral",
    "word_policy": "orthographic",
    "raw_seconds": 12
  },
  "range_seconds": {
    "high": 15,
    "low": 10
  },
  "locale": "und",
  "skill": "text.estimate_speaking_time",
  "duration_minutes": 0.2,
  "duration_seconds": 12
}

{
  "delivery_style": "slow",
  "text": "Good morning everyone. Today I will discuss the evolution of microservice architectures."
}

{
  "warnings": [
    "Speaking time is an estimate based on assumed words per minute."
  ],
  "unit": "seconds",
  "policy": "words_per_minute",
  "details": {
    "word_count": 12,
    "words_per_minute": 110,
    "rounding": "nearest_second",
    "delivery_style": "slow",
    "word_policy": "orthographic",
    "raw_seconds": 6.545454545454545
  },
  "range_seconds": {
    "high": 8,
    "low": 5
  },
  "locale": "und",
  "skill": "text.estimate_speaking_time",
  "duration_minutes": 0.12,
  "duration_seconds": 7
}

Recommended use cases

• Plan presentation or keynote rehearsal duration
• Validate that a speech fits a time slot
• Estimate podcast script length before recording

Avoid for

• Precise theatrical or performance timing
• Sessions with significant Q&A or audience interaction
• Reading-time estimates (use text.estimate_reading_time)

Related skills

Composable with

Safety & privacy

• Runs without calling any external service.
• Your payloads are never stored permanently.
• Telemetry captures metadata only — never your payload contents.
• We never train models on your payloads.
• No human reviews your payloads.

Tags