Data sources supported

Message Crawler reads chat and short-message data from a wide variety of sources:

• Chat platforms. Slack, Microsoft Teams, WhatsApp, Telegram, Discord, Zoom, Webex, MatterMost, Zoho Cliq, Lark, Meta Workspace, Facebook, Instagram, LinkedIn, ChatGPT.
• Forensic and mobile-collection tools. Cellebrite, Oxygen, Axiom, Elcomsoft, ModeOne, Belkasoft, XRY, iMazing, SyncTech, Apple Chat.DB.

If your data is in a format not on this list, ask. Adding new sources is part of the regular development cycle.

View and inspect

• Documents view. Every record in the database, in a sortable grid you can filter and sample.
• Conversation view. See messages grouped into the conversations they belong to, with participants, dates, and message counts.
• Native preview. Render attachments — PDFs, images, office files — without leaving the application.

Clean and prepare

• Deduplicate records using the standard Bates approach or a custom hash on fields you choose.
• Name normalize contacts so John Smith, j.smith, and Smith, John collapse into one identity. Original names are preserved so you can roll back any decision.
• Time-zone convert message dates between source and target zones — including a "process in a different zone than the load file" workflow for multi-jurisdictional reviews.

Search and tag

• Search bar Advanced searching capabilities based on metadata.
• dtSearch keyword indexing for full-text search across message bodies and extracted text.
• Tagging multiple modes: tag the document, the family, the conversation, the day, or a configurable range of messages around it.

Transform and export

• Mass update, search and replace, date format, and renumber tools for bulk changes across a search.
• Export select from RSMF, PDF, EML, HTML — or all of them at once. Induststry standard DAT file is also supported