WhatsApp Chat Scanner

The tool analyzes exported WhatsApp web transcripts to provide metrics and insights for support, product, and compliance teams. It processes transcripts from WhatsApp Web or official exports and offers metrics such as message counts, unique participants, sentiment distribution, keyword frequencies, and topic hints. Target users include customer-support managers, QA analysts, data scientists, and operations leads who review chat quality, monitor feedback, or audit conversations. Example: a 2,500-message export yields a per-chat summary, a keyword ranking, and a sentiment trend report over time.
Conceptually, the tool ingests text, detects language, tokenizes messages, and applies lightweight NLP: sentiment scoring, keyword extraction, and topic grouping. It supports multiple languages and can omit stopwords to improve signal. Results are structured in JSON with summary metrics and optional per-message details. The key differentiators include WhatsApp-specific message patterns, language-aware analysis, and efficient processing suitable for large transcripts. It is intended for offline analysis and does not require live integration with WhatsApp.
Common use cases include tracking customer sentiment after support interactions, identifying recurring issues, and surfacing compliance or policy concerns. Workflow-friendly outputs enable QA teams to benchmark agent performance, product teams to identify feature requests, and compliance officers to flag risky conversations. Unique value comes from tailoring analysis to WhatsApp chat structure, providing export-ready outputs, and offering deterministic results suitable for audits and reporting.