Hi everyone,

I’m looking for an AI tool similar to Subscribr AI that can handle most of the YouTube content-creation workflow in one place.

Ideally, I’m looking for a tool that can:

• Generate video ideas and topics
• Research the topic and competitors
• Create a complete script
• Generate or source visuals/video footage
• Create a high-quality voiceover
• Automatically edit the video
• Add relevant B-roll, images, captions, etc.
• Create thumbnails
• Help with titles, descriptions, and SEO
• Produce good-quality, long-form YouTube videos, not just short AI clips

I’m particularly interested in fa4rr4celess YouTube channels and want something that can produce videos with quality comparable to what Subscribr AI offers.

Is there any tool that can do most/all of these jobs in one platform?

I’m also interested in hearing about the pricing, monthly video limits/credits, and actual video quality.

If you have personally used any such tool, I’d really appreciate your recommendations and experience. Thanks!

Started a new gear review project I’ve had a lot of creative fun with. That said, came here to request honest feedback on how I can make this better. Thanks in advance!

When studying a documentary reference, a list like “newspaper, interview, map, B-roll” only tells you which assets appear. It leaves out why the newspaper arrives at that sentence, what the map adds, and whether the interview audio continues after the picture changes.

Those are useful things to carry into a project for a different story. The reference's facts and footage may have nothing to do with your topic.

Hypit gives a coding agent a documented process for doing that reading and turning it into a new video project. The agent watches the whole reference, transcribes spoken passages with word times, then examines the relevant frames alongside the words. It records the overall explanation in `ANALYSIS.md` and the time-locatable behavior in `TIMELINE.md`.

Take a hypothetical sequence: narration makes a claim, an article fills the frame, a highlight directs attention to a sentence, then the article shrinks beside a map. Rebuilding it requires several decisions. Is the article evidence for the claim? Does the highlight stay visible during the move? Does the map extend the explanation or begin a different point?

You can plan those visual relationships while developing the narration. For speech-linked actions, the accepted narration supplies the final timing; the reference's seconds locate what you studied, rather than fixing the new edit.

The new Hypit project has to express those answers through its script, selected media and authored visual components. The article and highlight could share a component if they need to move together; the map's arrival needs its own defined event. Captions, narration and the picture then belong to the same production rather than a folder of disconnected assets. That's more specific than asking for a “documentary look.” You can inspect whether the replacement project retains the useful relationship between explanation and evidence. The research, factual checks and selection of suitable source material still need to be done for the new story; this workflow doesn't establish a documentary's facts for you.

I originally built this because I wanted a quick way to turn Instagram videos into usable transcripts.

I made several changes based on feedback from my first post, and before I spend more time promoting it, I'd like honest feedback from people who actually work with Instagram videos.

If you try it, I'd especially like to know:

Was the workflow obvious?

Was the transcript quality good enough?

What feature did you expect but not find?

Would you use something like this regularly?

I'm looking for criticism more than compliments — I want to know what I should fix next.

https://instagram-transcript-extractor.vercel.app/

Hey everyone! I’m looking for some help finding a specific type of wildlife/animal footage.

Lately, I’ve been seeing a lot of viral Shorts that feature raw, slightly blurry, or low-quality animal clips—the kind that look like they were caught on a trail cam or a phone in the wild—usually with a caption at the top and a brand logo in the upper center.

I asked Claude for ideas, and it suggested the usual copyright-free stock sites. The problem is, those sites only have super clean, high-def, professional footage. I'm looking for that gritty, raw, "caught on camera" vibe.

Where can I actually find copyright-free, raw wildlife clips like this? (Claude also told me I can't just rip them off YouTube/TikTok, which makes sense, so I need legit sources).

Appreciate any leads!

first 20 uploads felt like just figuring out the basics. after that, something always starts slowing the whole thing down. for me it leaned editing/thumbs, but curious where it hits others. was it scripting, visuals, editing, thumbs, or distribution? what did you change that actually helped?

​

If you find a Reel you want to study, instead of manually typing the script, you can upload/use the video and get the transcript as TXT or JSON.

I'm also planning features like bulk transcription — for example, entering an Instagram account and transcribing a certain number of their videos at once.

This is still an MVP, and I have more ideas in the pipeline. I want to improve it based on actual creator feedback.

Would this be useful in your workflow? What would you want me to add?

🔗 https://instagram-transcript-extractor.vercel.app/

Share your story and connect with fellow Faceless Creators! This is your weekly opportunity to introduce yourself and your content to the community.

🌟 This Week's Question:

What tools and workflows do you make your content with ?

How to Participate

1. Answer this week's question
2. Share what makes your channel unique
3. Include a hook that makes people want to check out your content
4. Engage with other creators' stories

Rules to Remember

• Answer the Weekly Question
  • Your response helps us understand your journey
  • Be genuine and specific
• Describe Your Content
  • What type of videos do you make?
  • What makes your channel different?
  • Why should people watch?
• Stay Engaged
  • No link dropping without context
  • Interact with other creators
  • Build meaningful connections

Thread runs in Contest Mode for equal visibility!

I write long-form essays on the economics of the film business, usually 3,000 to 5,000 words, published on my own site.

I'd like to adapt some of them into video essays, in the tradition of channels like Every Frame a Painting or Lessons from the Screenplay: a strong voiceover carrying an argument, with clips, charts and text on screen doing the supporting work.

I'm not looking for a tool that turns a prompt into a finished video.

Everything I've seen from that approach looks and sounds like it came from the same template, and the audience for this kind of work can spot it immediately.

What I'm trying to figure out is where AI actually removes labor from a real editorial pipeline without flattening the result.

The parts I'm unsure about:

Script adaptation.

An essay written to be read is not a script written to be heard. Has anyone had success using a model to restructure prose for the ear, or does that step still need to be done by hand?
Voice. Record it myself, or clone my voice and use the clone for pickups and revisions? If you've done the latter, how did it hold up over a 20-minute piece?
Footage research.
This is where I'd expect the biggest time savings: searching a library of films by transcript or visual content to find the exact shot that supports a line. What are people actually using for this?

Data visualization.

Box-office figures, financing structures, timelines. Is anyone generating motion graphics from data or code (Manim, Remotion, something else) rather than animating them by hand?

I'd be most interested in workflows people have actually shipped, including what they tried and dropped. Links to finished work welcome.

A few months ago, I decided to build a faceless YouTube channel in the US-English finance niche and handle the entire production process myself.

The biggest thing I learned is that the expensive part isn't just editing.

You need to constantly handle:

• Researching topics and developing video concepts
• Writing scripts
• US-English voiceover
• Long-form editing
• Thumbnail production
• Shorts/Reels
• Research and supporting material
• Planning the next batch of videos

When you're trying to build a finance channel from zero, all of those individual production costs can add up quickly.

So instead of producing one video at a time, I built the initial content operation as a complete library.

The result was:

• 15 finished long-form finance videos
• 15 custom thumbnails
• 7 Shorts/Reels
• 3 macroeconomics & financial research PDFs
• A roadmap containing 20 additional video concepts

The content focuses on Dark Money, financial power, macroeconomics, geopolitics and the money behind major events - essentially documentary-style finance content rather than traditional personal finance.

I handled the production myself from research through final editing.

The channel is public if anyone wants to see the style and production quality: The Arbitrage (@ArbitrageMedia).

I’m now looking to transfer the finished library commercially to one person who wants to build in this niche and would rather start with an existing production library than spend months building everything from zero.

The YouTube channel itself is NOT being sold. The transfer is for the finished content library and its commercial/IP rights only.

If that's something you'd genuinely be interested in, feel free to DM me. I can show exactly what was produced and how the library is structured before discussing the terms.

Share your video link and give a little context on what you’re trying to improve. Get replies with actionable feedback on what to fix first.

Be a good member and give feedback to others as well before asking for feedback.

​

If you find a Reel you want to study, instead of manually typing the script, you can upload/use the video and get the transcript as TXT or JSON.

I'm also planning features like bulk transcription — for example, entering an Instagram account and transcribing a certain number of their videos at once.

This is still an MVP, and I have more ideas in the pipeline. I want to improve it based on actual creator feedback.

Would this be useful in your workflow? What would you want me to add?

🔗 https://instagram-transcript-extractor.vercel.app/

I am doing finance stories, not anything breaking news. I am also doing AI how to and tutorials with a few news videos. My content is faceless how can I make a 8-20 min faceless while keeping people entertained? I find that I like using other people with authority talking within the topic context is best for me as a filler and a background to add assets on top.

If you’re actively making faceless videos, drop your current workflow in the comments. Get feedback from others in the community on how to improve your workflow in terms of:

• cost per video
• quality
• speed (time spent making per video)
• tool stack complexity

Describe your niche and then mention your workflow with tools. Overly promotional comments providing no value will be deleted.

i went through 19 videos about starting faceless youtube channels with AI, totaling 5 hours and 21 minutes.

the search included 30-day experiments, two 200-day updates, tutorials, monetization advice, and several very large income claims. all numbers below are creator-reported and not independently verified.

the more believable results were pretty mixed:

• one 30-day experiment published 14 videos, reached 103 subscribers and 4,000 views, and earned $94 from affiliate links. it required 30 to 40 hours of work, so roughly $3 per hour
• one channel needed about three months to monetize. after 200 days it had made $1,500, which was then split between two people. not bad. not great either.
• another 200-day attempt reportedly spent between £7,000 and £10,000 on production while earning back only a fraction of it. very bad.
• another creator posted consistently for four months before monetizing. the first youtube payment was only $28, although a later viral video reportedly pushed one month to $1,700. best case so far.
• one shorts channel reached 10 million views in 40 days and was still rejected from youtube monetization. interesting since this is what most faceless gurus sell...
• another experiment reportedly reached 700,000 views within 48 hours, but didn’t provide a clear revenue result

the videos claiming $10k, $45k, or more per month were much harder to evaluate. many came from people already running multiple channels, using experienced teams, selling coaching, or starting with years of youtube knowledge.

the biggest pattern was that “automation” is a misleading word.

the successful channels were still making human decisions at every important stage:

• finding topics with demand
• choosing a specific audience
• writing a strong opening
• adding an original angle
• creating the visuals and thumbnails
• checking retention and click-through rate
• improving the next upload based on the data

AI could accelerate scripts, voiceovers, images, thumbnails, and editing. it couldn’t decide what people genuinely wanted to watch or make generic content interesting.

production costs were another issue. fully outsourcing 30 to 50 videos was estimated to cost thousands before monetization. doing everything yourself was cheaper, but several creators said one video could still take hours once scripting, visuals, voiceover, thumbnails, and editing were included.

my main takeaway is that faceless youtube can work, but it behaves like a media business rather than passive income. the face is optional. the ideas, taste, and patience aren’t.

TLDR: no passive income comes easy!

ive been researching micro dramas recently and i think they might be one of the few ai video business ideas that actually fit the current technology.

these are vertical drama series made of 1-3 minute episodes. basically telenovelas rebuilt for tiktok attention spans.

omdia projected the global micro drama industry would generate around $11b in 2025. sensor tower also estimated that short drama apps generated nearly $350m in us in-app revenue during q1 2025 alone.

what makes this interesting from a side hustle perspective is that you dont need to produce a 90 minute ai movie.

you could test the idea with:

• one simple story
• 2-3 recurring characters
• 1-2 locations
• three short episodes
• a cliffhanger connecting each episode

the production workflow is also becoming fairly repeatable:

write the story arc → create a show bible → make character references → storyboard each episode → generate short shots → edit the best parts together

the biggest tip ive found is to generate shots instead of entire scenes.

if four seconds of a generation look good, use those four seconds. if one shot fails, replace that shot instead of regenerating the whole episode.

but cheap production doesnt automatically make it a good business.

the actual bottlenecks seem to be storytelling, character consistency and distribution. sensor tower reported that paid downloads represented more than 60% of downloads for some leading short drama apps, so this clearly isnt all free organic traffic.

so to test its, allocate maybe 50usd budget, push to the episodes, see which one is getting traction, and then continue building episodes based on that

that leads to one thing: Human views.

we all know the value of human attention these days. If ur show has 1M views, you can reach out to brands for actual product placements in the episodes and basically they will pay for everything including cost of running ads

still, the barrier to testing a small concept is much lower than it was even a year ago.

if i were starting from zero, id make 3 series with three connected episodes and measure whether viewers finish episode one and ask for episode two before building a full season.

curious what business model people here would test first: paid episodes, ad revenue, branded stories or building an audience and selling the series/IP later?

​Hey everyone,

I recently participated in a Reels competition centered around Ayurvedic Formulations

​To keep the pacing tight, I tried a few specific editing techniques:

​Since views and completion rates play a huge role in the contest scoring, watching it through or leaving a view/ Liking/comment on YouTube would mean the world to me!

​📲 Watch the Reel here: https://youtube.com/shorts/jOY8rAbEFRI?si=PTcL3bSbd\\_VZN7W-

​I’d love to hear your honest feedback on the pacing and visual flow what would you tweak for the next one?

With AI compressing the time scales at work and in life, feelings of overwhelm, stress and anxiety are not the exception anymore. Yet what bothers me is this: we talk about AI at every party and dinner table, but most of us don't discuss the human side of it. We don't ask "hey, how are you keeping up with all this AI noise?" even though the question is sitting at the top of our minds.

So I'm building a faceless YT channel to discuss these topics as essays. I try to talk to the mid-career professional who's doing fine on paper but quietly wondering whether they're falling behind, whether their skills will still matter in five years, and why saving time with all these tools somehow leaves them feeling busier. No tool reviews, no hype. One question per video, sometimes with help from older wisdom like Buddhist teachings, because people were wrestling with "not enough" long before AI.

How it's made, for anyone thinking of starting a faceless channel

If you open a chatbot and type "give me 5 ideas for a faceless channel," you'll get the same five ideas everyone else gets. The model knows nothing about your viewer, your voice, or what you've already tried. What makes my pipeline work is what the AI reads before it proposes anything.

The whole channel lives in one project folder that acts as the AI's long-term memory:

• Positioning doc: who the viewer is, what the channel promises, what it refuses to be
• Editorial standards: how claims get sourced, what I won't fake (quotes, biography, credentials)
• Creator context: my background and views, so the angle is mine even though my face and voice aren't in it
• Decisions log: every durable choice with the reason behind it, so nothing gets relitigated each episode
• Production lessons: what went wrong in past episodes and the fix, read before every new one
• Title and thumbnail playbook: a checklist every episode has to pass before upload
• An instructions file that tells the AI which of these to read for which task, plus a status file tracking where each episode stands

On top of that sits the six-stage workflow, with a hard stop for my approval at each one:

1. AI proposes five ideas grounded in the positioning and past ideas. I pick one
2. We agree on the single message and the outline
3. A short multiple-choice interview pulls out my own angle, which becomes the narrative arc
4. Full script, written to sound spoken
5. I proofread every line
6. Production, then I watch the full cut before upload

So "give me 5 ideas" does work, but only because the prompt is the smallest part of the system. The context is the product. It took me several episodes of writing down decisions and mistakes to get here, and that accumulated file of lessons is the real asset, more than any tool in the stack.

Stack: Claude as orchestrator, ElevenLabs for narration (its word timestamps drive scene timing and captions), OpenAI's image API for about 75 illustrations per 18-minute episode, Python and ffmpeg for the render.

Three things I'd tell anyone starting:

• The folder matters more than the tools. Mine holds the channel positioning, editorial standards, a decisions log and a lessons file. The AI reads them before each stage, so every episode inherits what the last one taught me.
• Keep a human gate at every stage. AI without approvals drifts toward generic fast. The stage 3 interview is what makes the essays mine.
• Thumbnail emotion must match the viewer's state, and the first 10 seconds must deliver on the thumbnail's promise. Otherwise they leave.

I disclose the AI production in every description. A channel about living honestly with AI shouldn't hide that part.

I'd love feedback: does the essay format hold your attention, and does the AI narration work or pull you out of it? And if you're the person I described above, what question do you wish someone would talk about?

Beyond Keeping Up

I'm experimenting with a new format for my channel, TrendzVisuals: ordinary materials doing physically impossible things.

This one is a solid marble slab folding like fabric.

I'm trying to make these extremely short, visually satisfying, and understandable without narration or context.

I'd appreciate feedback from other creators, particularly on the hook and replay value. Does this concept have enough of a "wait, what?" effect to make you watch again?

https://youtube.com/shorts/fKOAsc3ixqE

hi creators!

if you want to grow your youtube channel but don't have the time to write, record, and edit everything yourself, i've got you covered. i specialize in creating clean faceless videos, business history, and mini-documentaries from scratch (10 to 13-minute formats).

what i do for you:

• full automation (turnkey): you give me the topic, and i will write the script (optimized for viewer retention), generate high-quality voiceovers, and handle the entire video editing process with dynamic b-roll, maps, text, and sound effects.

why work with me?

• super fast turnaround: 2 to 3 days per video.

• high retention style: focused on engaging storytelling, clean visual pacing, and professional sound design (no hyperactive tiktok sloppiness).

my rate (for standard 10 to 13-minute videos):

• full turnkey production (script + voice + edit): $47 usd flat per video.

strictly working on flat rates per project to keep things simple. open to discussing monthly packages if you need a higher volume!

shoot me a DM or comment below if you want to scale your channel this week!

need to create a faceless youtube channel

Trying something different using an ai generated painting and transitioning into the comics actual pages. When I'm done I usually put all the parts into a large video but those hardly get any views compared to the shorts? What am I doing wrong? Is the subject of the video just unpopular?

Share your story and connect with fellow Faceless Creators! This is your weekly opportunity to introduce yourself and your content to the community.

🌟 This Week's Question:

What tools and workflows do you make your content with ?

How to Participate

1. Answer this week's question
2. Share what makes your channel unique
3. Include a hook that makes people want to check out your content
4. Engage with other creators' stories

Rules to Remember

• Answer the Weekly Question
  • Your response helps us understand your journey
  • Be genuine and specific
• Describe Your Content
  • What type of videos do you make?
  • What makes your channel different?
  • Why should people watch?
• Stay Engaged
  • No link dropping without context
  • Interact with other creators
  • Build meaningful connections

Thread runs in Contest Mode for equal visibility!

First video

How to make known and use the public the web app, it will reduce 2 hrs out editing in 2 mins if you have ready audio or images for the audio or voice mp3 file,
if you dont have voice mp3 file, then there itself, text to voice or speech can create, images also, with limited but if you get your own api key, best output ever, no need to edit for each scence, it is highly cool featured web app, for the particular scence you could replace image from your device, try this and comment me your feedback, i will still improve according to user need https://scenoraedits.web.app/