Total chat words
Sum the word counts from all recognized sender-attributed text messages.
Private WhatsApp word counter
Measure how many whitespace-separated words appear in exported text messages, then compare participant totals and averages. The WhatsApp Word Counter distinguishes word volume from message volume, so many short texts do not automatically outrank fewer long messages.
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For each parsed text message with a sender, MyChatWrap trims the content, splits it at whitespace and counts the non-empty pieces. Those counts are added per participant and across the chat. Media, deleted markers and system events are not transcribed into words. The result is a reproducible token-like count, not a linguistic analysis of meaning.
The preview reuses the same Total words MetricCard as Dashboard › Overview with fictional participant values.
Product preview
Fictional example86,400
49820
36580
Sum the word counts from all recognized sender-attributed text messages.
Compare how much text each person contributed during the exported period.
Read word volume beside average message length instead of confusing the two.
Exclude untranscribed audio, image content, documents and deleted bodies.
Attribute recognized text volume across many group members.
Review total-word metrics across supported dashboard time periods.
Use WhatsApp’s Export chat action and save .txt or .zip.
The browser parses recognizable sender-attributed text and counts whitespace-separated pieces.
Overview opens at participant comparison with total and average word metrics.
Two minutes on your phone. Choose your device, follow the taps, then come back and add the file above.
Watch the whole flow — export from WhatsApp, then drop the file into this app.
The method trims each text message and splits it wherever whitespace occurs. Every non-empty piece adds one to that sender’s total.
This deliberately simple method is repeatable across large exports, but punctuation, URLs, emoji joined to text and languages without spaces can behave differently from dictionary words.
Message count measures how many separate message events a person sent. Word count measures the amount of text inside eligible messages. A person can lead one metric and not the other.
Average words per text message adds a third view. Read all three instead of turning one number into a judgment about effort.
Voice notes are counted as media events but are not transcribed. Images and documents are not OCR-scanned, and deleted message bodies cannot be recovered.
System messages and non-text message types therefore do not add ordinary words to participant totals.
Whitespace splitting works naturally for many languages but does not perform language-specific segmentation, stemming or grammar analysis.
The count describes text units in the export, not vocabulary quality, meaning or fluency.
Standard import, parsing and deterministic counting run in your browser. MyChatWrap does not connect to your WhatsApp account or store message content on its server. The selected import remains in that browser’s local app database until you remove it.
Count recognizable edited-message flags and compare participants without claiming to reveal earlier wording.
Count question-bearing messages and compare participants with a clear punctuation-based method.
Count recognizable URLs, including multiple links per message, and compare participants.
Need every message instead? Create a complete chronological transcript PDF.
Add the chat and compare real total-word and average-length metrics in Overview.
Count WhatsApp words