AI Market Hub
Automate content: transcription, generation, publishing

About AI Market Hub
Introduction to AI Market Hub
AI Market Hub is a free platform that automates key steps in the video-to-content workflow. It transcribes videos, generates titles and SEO-ready descriptions, and publishes directly to YouTube and Telegram. The service is available 24/7 and supports more than 50 languages, including Russian.
The platform is designed for content creators, YouTube channel owners, marketers, and educators who need to accelerate content production without adding manual workload. It consolidates transcription, content generation, smart timestamps, and publishing into one environment to streamline routine tasks.
Key Takeaways
- End-to-end workflow: upload video, transcribe, generate titles/descriptions/hashtags, and publish
- Whisper AI transcription with reported 98% accuracy across 50+ languages
- Content generation powered by GPT-4 and Gemini for titles, SEO descriptions, and hashtags
- Smart timestamps to create video navigation and highlight key segments
- Bulk uploads up to 10 videos; supports MP4, MOV, AVI, MKV, and other common formats
- One-click publishing to YouTube (auto-filled fields and scheduling) and Telegram (formatted posts)
- Free to use with no stated usage limits
- Time savings reported by users (e.g., 5+ hours per week)
How AI Market Hub Works
After connecting your YouTube and Telegram channels, you upload one or more videos via drag-and-drop. The system supports up to 10 concurrent uploads and accepts common formats such as MP4, MOV, AVI, and MKV.
The service then runs automated processing: Whisper AI generates a transcript (with a reported 98% accuracy), while GPT-4 and Gemini produce titles, SEO-friendly descriptions, hashtags, and smart timestamps for video navigation. This creates a ready-to-publish content package in minutes.
Publishing can be completed in a single step. For YouTube, the platform auto-fills metadata and supports scheduling; for Telegram, it formats posts and includes previews and hashtags. The workflow is built for cross-posting and consistent metadata across channels.
Pricing
| Plan | Price | Limits |
|---|---|---|
| Free | 0 | No stated usage limits; up to 10 simultaneous uploads |
Integrations and Feature Availability
| Capability | Status | Notes |
|---|---|---|
| YouTube publishing | Available | Direct upload, auto-filled fields, scheduling |
| Telegram integration | Available | Channel posting with formatting and hashtags |
| TikTok autoposting | Planned | Roadmap item |
| Instagram Reels | Planned | Roadmap item |
| YouTube Shorts | Planned | Roadmap item |
| Twitter/X integration | Planned | Roadmap item |
| Planned | Roadmap item | |
| Thumbnail generation (DALL-E) | In development | Part of next-gen AI features |
| Auto-highlights (clip creation) | In development | Planned video cuts |
| Voiceover | In development | Text-to-speech for videos |
| Translation to 100+ languages | In development | Beyond current 50+ support |
| SEO analysis, virality forecast, A/B testing | Planned | Analytics roadmap |
| Content calendar, Telegram control bot, scheduling, webhooks/API | Planned | Automation roadmap |
Core Benefits and Applications
AI Market Hub reduces manual effort in preparing videos for distribution by centralizing transcription, metadata creation, and publishing. This helps maintain consistent quality and speeds up delivery across platforms.
Common applications include:
- YouTube creators: generate SEO-focused titles and descriptions, add timestamps, and schedule uploads from one place.
- Channel managers and agencies: manage multiple channels and cross-post to Telegram with consistent metadata.
- Marketers: standardize descriptions and hashtags for multi-platform distribution to improve discoverability.
- Education teams: convert lectures and webinars into transcripts, subtitles, and structured summaries.
By unifying these tasks, the platform supports faster turnaround times, multilingual workflows, and scalable content operations without additional tools or manual copy-paste steps.