Awesome job creating this video and showing the steps by step. Please let me know if you have found information about monetizing this content and if Google allows you to use the generated audio in your videos. They will probably charge a fee for this later, and they are currently collecting data. It would be awesome if they would announce that you can use the generated content in your various creations.
Kudos for the effort and dedication! But the entire process is *very* time-consuming. What you made looks great (tho still not perfect), but it's a very good start. I initially planned to do the same thing, but ended up with what I have now - just an audiogram made in the Headliner app. Until online AI tools (and even more the local ones!) get faster, more precise (read: lip-syncing), and more cost-friendlier, I'll stick to those apps that can generate podcasts in a more timely fashion. But seeing how AI rapidly evolves, that won't take much time I guess :)
Brother, I salute your courage for opening an English TH-cam channel despite being Indian (I inferred this from your Indian accent). You took a significant risk because, given the kind of content you have on TH-cam, if it were in Hindi, your subscribers would be in the millions today. I am also considering starting an English TH-cam channel, just looking for a niche. Can you suggest one or two? By the way, I don't know what this is-Notebook LM? But it seems powerful. Can you tell me if I can make Hindi podcast videos with it? It would be amazing if I could do that! 😢😢😢🎉🎉🎉🎉🎉
Thanks Bro. Yes I am Proud Indian. Podcast Niche in Hindi can be a great idea, as very few channels on YT are working on it. Notebook LM supports only English Language for now. But there's another way one can create a Podcast in Hindi or various other languages.
notebookLM to create podcasts.. i've created a small python to separate the voices (it creates 2 files, male.mp3, female.mp3) that you can use to feed into the various "hedra" or other saas to create talking avatars. No more struggles to manually separate the voices! (of course the audio files contain the "silences" when the other character is not speaking, so they perfectly match)
omg great tutorial. could you explain further how to do the side by side scene to avoid audio and video overlaps (from 22:08)? . Does it have to be using Wondershare FIlmora?
No. Doesn't have to be Filmora. It can be any Video editor. You need to place clips one above the other. (May be male"s on 1st tract and female's on the tract below the 1st track) or vice versa. The main trick is , you need to work precisely while cutting audio clips. Don't ignore pauses or silence. Just cut the audio as it is, and do not mess the timing while dragging the clips down. as shown (from 14:21)
Hello and thank you for the video...I have a question the podcast create whit notebooklm i'nst copyright of google?? I think that is forbidenn to use the podcast comercialy
Yes, you can share podcasts created with Google’s Notebook LM on platforms like TH-cam without immediate copyright issues. Notebook LM generates content based on your own inputs and sources, which means the final podcast is your creation. Since Google classifies Notebook LM as an experimental tool, they don’t restrict you from publicly sharing the content you generate. However, it’s always smart to keep an eye on any updates to Google’s policy, especially as the tool evolves.
Great work!!! I was having an issue figuring out how to get both in the clip & found your video!!! Exactly what I needed. I subscribed!!! Ty
@@Shocktales Thanks Bro. I'm glad that you like my work.
wonderful this video brought my idea to life thanks xxx
Hello, great tips.
I was doing it by myself when I saw your channel. Thank you.
Good hard work 🎉
Awesome job creating this video and showing the steps by step. Please let me know if you have found information about monetizing this content and if Google allows you to use the generated audio in your videos. They will probably charge a fee for this later, and they are currently collecting data. It would be awesome if they would announce that you can use the generated content in your various creations.
Kudos for the effort and dedication! But the entire process is *very* time-consuming. What you made looks great (tho still not perfect), but it's a very good start. I initially planned to do the same thing, but ended up with what I have now - just an audiogram made in the Headliner app. Until online AI tools (and even more the local ones!) get faster, more precise (read: lip-syncing), and more cost-friendlier, I'll stick to those apps that can generate podcasts in a more timely fashion. But seeing how AI rapidly evolves, that won't take much time I guess :)
lovely
Brother, I salute your courage for opening an English TH-cam channel despite being Indian (I inferred this from your Indian accent). You took a significant risk because, given the kind of content you have on TH-cam, if it were in Hindi, your subscribers would be in the millions today. I am also considering starting an English TH-cam channel, just looking for a niche. Can you suggest one or two? By the way, I don't know what this is-Notebook LM? But it seems powerful. Can you tell me if I can make Hindi podcast videos with it? It would be amazing if I could do that! 😢😢😢🎉🎉🎉🎉🎉
Thanks Bro. Yes I am Proud Indian. Podcast Niche in Hindi can be a great idea, as very few channels on YT are working on it.
Notebook LM supports only English Language for now. But there's another way one can create a Podcast in Hindi or various other languages.
From where did you get that "audio" stream in between podcasters? It was a good addition between and made the video more interesting.
Canva
Beautiful
notebookLM to create podcasts..
i've created a small python to separate the voices (it creates 2 files, male.mp3, female.mp3) that you can use to feed into the various "hedra" or other saas to create talking avatars. No more struggles to manually separate the voices!
(of course the audio files contain the "silences" when the other character is not speaking, so they perfectly match)
Can you provide the link of the tool
@OG_Snuff Links are shared in the description.
can you share python code
Perfect, could you share this phyton code? it would be of great help. thanks
omg great tutorial. could you explain further how to do the side by side scene to avoid audio and video overlaps (from 22:08)? . Does it have to be using Wondershare FIlmora?
No. Doesn't have to be Filmora. It can be any Video editor. You need to place clips one above the other. (May be male"s on 1st tract and female's on the tract below the 1st track) or vice versa. The main trick is , you need to work precisely while cutting audio clips. Don't ignore pauses or silence. Just cut the audio as it is, and do not mess the timing while dragging the clips down. as shown (from 14:21)
Hello and thank you for the video...I have a question the podcast create whit notebooklm i'nst copyright of google??
I think that is forbidenn to use the podcast comercialy
Yes, you can share podcasts created with Google’s Notebook LM on platforms like TH-cam without immediate copyright issues. Notebook LM generates content based on your own inputs and sources, which means the final podcast is your creation. Since Google classifies Notebook LM as an experimental tool, they don’t restrict you from publicly sharing the content you generate. However, it’s always smart to keep an eye on any updates to Google’s policy, especially as the tool evolves.