About Telm
Telm is a Telegram moderation bot and anti-spam system that automates message filtering and community management. It screens every message with blocklists, rule sets and layered AI, and begins in monitoring mode so decisions can be reviewed before enforcement.
It analyzes text, images, voice notes and QR codes (including OCR and image-hash checks) and escalates borderline cases to a language model. Telm uses federated threat signals and supports custom training from uploaded chat history to reduce false positives.
Built-in appeal handling records moderation actions and allows automated review and reversals. Additional capabilities include scheduled posting with AI rewrites from RSS feeds, DM broadcasts, welcome flows, automated FAQ replies, leaderboards and analytics.
Dashboard, bot messages and appeal notices are available in 25+ languages and one account can manage multiple groups.
Key Features
Use Cases
Who is it for?
It analyzes text, images, voice notes and QR codes (including OCR and image-hash checks) and escalates borderline cases to a language model. Telm uses federated threat signals and supports custom training from uploaded chat history to reduce false positives.
Built-in appeal handling records moderation actions and allows automated review and reversals. Additional capabilities include scheduled posting with AI rewrites from RSS feeds, DM broadcasts, welcome flows, automated FAQ replies, leaderboards and analytics.
Dashboard, bot messages and appeal notices are available in 25+ languages and one account can manage multiple groups.
Key Features
- Message screening using blocklists, rule sets and layered AI with monitoring mode for review before enforcement
- Multimodal content analysis of text, images, voice notes and QR codes including OCR and image-hash checks, with escalation to a language model for borderline cases
- Federated threat signal integration and custom model training from uploaded chat history
- Built-in appeal handling that records moderation actions and supports automated review and reversals
- Automation and publishing tools: scheduled posting with AI rewrites from RSS, DM broadcasts, welcome flows, automated FAQ replies, leaderboards and analytics
Use Cases
- Automate moderation of large Telegram communities by scanning text, images, voice notes and QR codes with blocklists, layered AI and review queues, reducing manual effort while routing questionable content to appeals and human reviewers
- Train custom moderation models and rule sets using community-specific data and federated threat signals to proactively block scams, hate speech and spam across multiple groups, while leveraging scheduled AI posting and group automation to keep channels active and compliant
- Implement transparent human-in-the-loop moderation workflows with automated appeals, multimedia content filtering and exportable analytics to measure false positives, tune filters and demonstrate moderation decisions to community members
Who is it for?
- Telegram group administrators
- Community moderators and volunteer moderators
- Online community managers
- Trust & safety teams at platforms
- Social media and marketing managers
- Businesses using telegram for customer support or broadcasts
- Developers and integrators building moderation workflows
- Non‑profit and advocacy community organizers
- Influencers and large channel owners
- Educational institutions and event organizers managing group chats
