Silent Legends

Analyze your WhatsApp history or retrieve past legends.

How to Export Chat (Click to expand)

1. Open WhatsApp Group > Tap three dots (⋮)
2. More > Export Chat > Without Media
3. Upload the .txt file below.

Your Name *

Registration Number * i

Batch

Group Name

Password (Optional) i

Auto-Delete i

Chat File (.txt or .json) i

📂 Drag & Drop or Click to Upload

Don't trust us? Run the code locally

Retrieve Existing Stats

Enter your registration number to find your uploaded groups.

🐍 Run Locally (Python)

Paranoid about privacy? Run this script on your PC and upload the JSON.

import re
import json
from collections import defaultdict

# Input and output files
INPUT_FILE = "input.txt"
OUTPUT_FILE = "output.json"

# Regex to detect a normal WhatsApp user message
# Example:
# 10/5/22, 9:46 PM - logicalhammad: message
MESSAGE_REGEX = re.compile(
    r"^(?P\d{1,2}/\d{1,2}/\d{2}),\s"
    r"(?P\d{1,2}:\d{2}\s[AP]M)\s-\s"
    r"(?P[^:]+):\s"
)

# Data structure:
# {
#   "name": {
#       "total": int,
#       "YYYY-MM": int
#   }
# }
stats = defaultdict(lambda: defaultdict(int))

with open(INPUT_FILE, "r", encoding="utf-8") as file:
    for line in file:
        line = line.strip()

        match = MESSAGE_REGEX.match(line)
        if not match:
            continue  # Not a normal user message

        name = match.group("name").strip()
        date = match.group("date")

        # Convert M/D/YY → YYYY-MM
        month, day, year = date.split("/")
        year = "20" + year
        month_key = f"{year}-{month.zfill(2)}"

        stats[name]["total"] += 1
        stats[name][month_key] += 1

# Convert defaultdicts to normal dicts for JSON
final_data = {user: dict(data) for user, data in stats.items()}

with open(OUTPUT_FILE, "w", encoding="utf-8") as out:
    json.dump(final_data, out, indent=4, ensure_ascii=False)

print(f"Analysis complete. Data saved to {OUTPUT_FILE}")

Retrieve Existing Stats

🐍 Run Locally (Python)

✅ Success!