WhatsApp GB Extractor

Extract and summarize GB data usage from WhatsApp GB exports or logs for quick analysis and reporting.

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About This Tool

The WhatsApp GB Extractor analyzes unstructured usage traces or exports and returns quantified data usage. It focuses on GB and MB values embedded in text and logs, enabling teams to measure consumption over time and across chats.
Conceptually, the tool scans the input, detects numeric values with data units, converts all measurements to a common GB unit, and aggregates by the chosen scope. It supports total summaries as well as per chat or per user breakdowns when metadata is present. Outputs are structured for downstream integration and clear audit trails.
Who benefits includes data engineers evaluating capacity, compliance teams performing data governance checks, and analysts performing usage profiling. The value lies in producing reliable, repeatable metrics from human readable exports without manual counting. Core differentiators include robust unit normalization, optional date range filtering, and clean, machine readable outputs that fit scripting or BI pipelines.

How to Use

  1. Provide inputs such as source_text and optional from_date and to_date.
  2. Choose the extraction scope: total, per_chat, or per_user.
  3. Run the extraction to normalize units and compute totals.
  4. Retrieve outputs: total_gb and breakdown maps for downstream workflows.
  5. Export results or feed into reporting or analytics tools.
How to use whatsapp gb extractor

Frequently Asked Questions

Find Quick Answers

What sources can be processed?
The tool accepts free text, logs, or exported chat data that contain numeric data usage values with GB or MB units. It does not parse binary media or encrypted content and relies on readable usage indicators within the input.
How is MB converted to GB?
MB values are converted to GB using 1024 MB per GB. Totals are presented with two decimal places to maintain precision in audits and reporting.
Can I get per-chat breakdowns?
Yes. If the input contains chat identifiers or metadata tags, the extractor returns a per_chat map mapping each chat to its GB usage, in addition to the total.
What if dates are missing or invalid?
If the date range is provided but invalid, the tool reports a validation error. If no dates are given, all items are considered within the full input timeline.

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