Private WhatsApp Chat Export Analyser & Stats

Analyse exported WhatsApp .txt chat files 100% in your browser. Uncover message counts, most active participants, top emojis.

About this tool

How to use it

  1. Export any WhatsApp conversation from your phone (Choose 'Export Chat' → 'Without Media').
  2. Drag and drop the generated .txt file into the drop zone, or paste conversation lines directly.
  3. Inspect the interactive statistical overview: total message counts, word frequency, and active members.
  4. Review the Participant Breakdown table to see who contributes the most to the group.
  5. Examine the Top Emojis Leaderboard and the Daily Activity Time breakdown.

Why it matters

Curiosity about group chat dynamics and messaging volume is widespread. However, uploading private family or corporate WhatsApp transcripts to shady third-party websites creates severe data privacy vulnerabilities. A 100% in-browser analyzer parses files using private local JavaScript without transmitting a single byte over the web.

When to use it

Use this tool to analyze friend group chats, calculate team responsiveness, inspect relationship messaging volume, or generate end-of-year chat recap summaries.

Good to know

100% private in-browser FileReader execution. Works completely offline with zero server data storage.

Common questions

How do I export a chat from WhatsApp?

On your smartphone, open the chat → tap the contact or group name at the top → scroll down and tap 'Export Chat' → choose 'Without Media' → save or email the .txt file.

Is my conversation uploaded to your server?

No! The parsing runs 100% client-side inside your browser's local sandbox memory using the HTML5 FileReader API. You can even disconnect your Wi-Fi and the analyzer will still function completely.

Does this tool support both iPhone and Android exports?

Yes! The parser supports both iOS format (`[DD/MM/YY, HH:MM:SS] Name: text`) and Android format (`DD/MM/YY, HH:MM - Name: text`).

What size chat files can I analyze?

Because analysis happens in browser memory, you can analyze years of text conversations (tens of thousands of messages) in just a few seconds.