۵ تا از بهترین ایده های یوتیوب که بدون چهره میتونی به درامد برسی ! ( کامل با Ai )

Summary

The presenter argues that faceless YouTube channels can be built with AI-assisted scripting, narration, image generation, and video editing. He showcases several formats and channel examples, but stresses that results are neither guaranteed nor immediate: some channels took many uploads or years to build, while a few reportedly grew quickly.

Channel Ideas and Examples

• Zombie and survival stories: Serial-style, AI-generated videos. One example reportedly had 17 videos and 18,000 subscribers. The presenter estimated its RPM at about $2 or more.
• Business-startup ideas: Videos introducing inexpensive equipment or practical ways to start a small business. The suggested production process is similar to the zombie format, using AI-generated visuals and narration.
• Historical or “life in another era” stories: Narrated scenarios, such as an ordinary day in ancient Rome. The presenter noted that AI voices can mispronounce words and recommended more natural narration.
• Relationship-drama storytelling: AI-assisted stories about couples, affairs, and household conflicts. One example reportedly had 80 videos and 30,000 subscribers, with some videos reaching millions of views. The presenter attributed part of its performance to long videos—roughly 20 minutes—that hold viewers’ attention.
• Visual stories made with AI: Another example used narrated stories with AI visuals. One video reportedly received 30,000 views in three days, while the channel had five videos and 160 subscribers.
• Other formats discussed: Minecraft-style animation, true-crime narratives, film and series commentary, Iran-focused vlogs, satisfying and short-form videos, finance and book summaries, mysteries, and history or politics explainers.

Business and Production Playbook

• Start with evidence of demand: Find channels already succeeding in a format, then examine their earliest uploads—not just their viral hits or current subscriber counts.
• Adapt the format rather than copying a single topic: Test the same storytelling or visual approach across different subjects and niches.
• Use AI as a production aid: Suggested steps include researching a topic, drafting or summarizing a script with AI, generating or sourcing visuals, adding narration, and editing the final video. Tools mentioned include Google Flow, ChatGPT, and Google Translate.
• Bring original value: For research-heavy subjects such as true crime, gather information from multiple sources and retell it in your own words. For film or series content, add substantial commentary or editing rather than simply reposting clips.
• Build for consistency: A channel with only a few uploads is not directly comparable to one with hundreds. The presenter cautions against judging a new channel’s prospects based on its first two or four videos.
• Use a voice that supports originality: The presenter recommends using your own voice where possible. He regards AI narration as less desirable and warns that synthetic or generic content may create monetization risks.
• Treat the niche as a test: Views may rise and fall sharply, particularly on faceless channels. Some examples initially received very few views before later videos performed better.

Metrics and Risks

The presenter gives several illustrative, unverified estimates, including:

• A film and series channel reportedly had roughly 105 videos, with examples reaching 14 million and 2 million views. The presenter estimated approximately $80 per million views, about $100 for a video with 1.2 million views, and $800–$1,200 in monthly revenue for the channel.
• A relationship-story channel reportedly had around 2 million views in the previous seven days at the time of the video, despite a recent decline in views.
• A Minecraft-animation example was described as earning roughly £7 (about $12) in a day, though the surrounding calculations in the subtitles are unclear.

These figures should be treated as the presenter’s claims, not verified benchmarks. Actual revenue depends on factors such as audience, video length, geography, ad suitability, and monetization status.

Copyright and Reused-Content Risk

Re-editing other people’s footage may lead to copyright problems or failure to qualify for monetization. The presenter advises adding substantial original narration, analysis, or transformation. He also notes that some monetization services may decline channels built on other people’s content.

AI-Content and Monetization Risk

The presenter warns that YouTube could restrict monetization for content with low originality or heavy automation. AI can speed up production, but it does not remove the need for originality, quality, and policy compliance.

Presenter and Sources

The presenter identifies himself as Mohammad Arouz (the spelling is uncertain in the auto-generated subtitles) and promotes the Youtuber Sho channel’s earlier tutorials and training episodes.

Channel examples named in the subtitles include StickFaluto, Stick Mentor, Amir Pewdiepie, Frame Daily Live, Anti-D Relax, Abolfazl Kolahgareh’s Strategic Cross Force, Night Story, Battle Office, and Battle of History. Some channel names may be mistranscribed.