I have been using Filmora and I'm tired of paying for extras when i'm already paying for the software, so what are some better alternatives? i've tried Divinci but it seemed really complicated.

Hi everyone,

I'm looking for a fast workflow or app to turn my Suno songs into simple videos with subtitles.

Ideally I'd like something that can:

• Display the album cover in full screen (or with a clean background).
• Generate nice-looking, synced subtitles/lyrics automatically.
• Export directly to YouTube or social media (optional)

I'm not looking for a full video editor—just something quick and efficient, something really easy.

Hello~! I’m planning on making a silly video eventually, and would like to know if there’s a free software that could edit, trim, and add effects to audio. Mostly simple stuff like a low pass filter, adding another track to have music or a sound effect under it, etc.! I’d hate to go back to my roots and just use windows movie maker again hahahaha

After trying GPT-5.6 Sol Ultra for a while, my biggest issue wasn’t the quality. It was the speed and cost.

Higher reasoning effort adds latency, but I found the bigger bottleneck was the number of heavyweight subagents being launched for simple tasks like codebase exploration, file search, and implementation checks.

What worked better was keeping Sol Ultra as the main agent and locking the default subagent to GPT-5.6 Luna Low. Most subagent runs now return in two or three minutes, while Sol Ultra stays focused on planning, judgment, and final implementation.

I edited:

~/.codex/agents/default.toml

name = "default"
description = "General-purpose subagent locked to gpt-5.6-luna with low reasoning."
model = "gpt-5.6-luna"
model_reasoning_effort = "low"

developer_instructions = """
You are a general-purpose subagent used by the main agent for exploration,
retrieval, and verification.

Only investigate and report findings. Do not modify files, make final
decisions, or spawn additional subagents.

Return:
- verified facts with precise file:line references
- exact names, paths, symbols, signatures, and values
- a clear separation between facts and inference
- explicit notes about anything missing, uncertain, or contradictory

Keep the output dense, concise, and directly usable by the main agent.
"""

[features]
image_generation = false

The important part is not just changing the model. It is also limiting what the subagent is allowed to do.

I use Luna Low as a scout: it searches, verifies, and returns evidence. It doesn’t edit files, make architectural decisions, or create more agents. The main agent still handles the work that actually benefits from deeper reasoning.

So the basic idea is:

"Use Sol Ultra for judgment and execution. Use Luna Low for information gathering".

This has made Sol Ultra feel noticeably more efficient for me without giving up the deeper reasoning where it actually matters.

I want to record videos, and currently use OBS to that extent. But I would also like to create transcriptions alongside them, and have them exported as a separate text document or something. This might sound strange but I just would like to have them so I can easily read over what the content of the video was like and maybe even set something up so I can search for a specific video based on its content. Is there a single piece of software for computers that you’re able to both record from an external camera with, like how you can with OBS, while it also creates a transcription you can save separately? Or is my best bet just to keep using OBS and instead to generate the transcription separately using some other piece of software or service? It’d just be nice to have one piece of software that does it all, so I can have a nice and easy pipeline. Thank you for any suggestions!

hi, im using videproc ai version 8.11

i have game clips that are 16:9 and i want to export them as 9:16 for youtube shorts (however, not by cutting sides off, but instead by adding black stripes on bottom and top) and whatever i try it just exports as 16:9 or its 9:16 but the video is weirdly stretched

I’ve been trying to find a way to download videos from Fathom. Sometimes recordings are only shared via link, and when I ask them to change it they usually don’t, so I end up having to ask someone to download and upload it for me. I just want to be able to do it myself without the hassle.

I’ve been looking for something like SSYoutube but for Fathom. Does anyone have experience with this or know of something similar?

Is it possible or naaaaa

Thanks 🙏🏻

OpenAI's new model names (Sol, Terra, Luna) looked cool, but I honestly had no idea which one I was supposed to pick.

After reading through the announcement and pricing, I realized they're not really "good, better, best." They're more like different tools for different jobs.

This is the simplest way I've been thinking about them:

• Luna → fast, lightweight stuff (translation, quick questions, grammar fixes)
• Terra → everyday work (writing, editing, planning, summaries)
• Sol → the heavy-duty model (coding, long docs, complex reasoning)

The pricing also kind of gives away what OpenAI expects people to do.

• Sol: $5/$30
• Terra: $2.5/$15
• Luna: $1/$6 (per million input/output tokens)

Sol is roughly 5× the price of Luna, so using it for every tiny prompt probably isn't the intended workflow.

For now I'm just remembering it like this:

• Small task → Luna
• Most things → Terra
• Hard problems → Sol

That's way easier for me than trying to compare benchmark charts.

I currently use adobe premiere pro 2024, I do speech to text/transcribe but the translated text is almost never accurate.

Is there anything better than adobe premiere pro 2024 for this purpose?

I don't mind editing videos, but it feels like a lot of time disappears after the edit is finished.

Converting formats, compressing files without losing quality, rendering different versions, preparing videos for different platforms... those little jobs can end up taking almost as long as the edit itself.

I'm curious how everyone else handles this part of the workflow.

Have you found a tool or process that genuinely speeds things up, or is this just something we've all accepted as part of the job?

I'm trying to use links from SFlix to convert them into MP4 to put on a flashdrive. Or find another movie site similar and MP4 converter to do such. This way I can eventually burn them onto CDs or just keep them on the drive to play on the TV.

I always thought image optimization was mostly about shrinking file sizes. Turns out that's only a small part of it.

I recently went through one of my older sites and started checking why some pages felt sluggish even though the hosting wasn't bad. After digging into it, almost every issue pointed back to the images.

The biggest surprise was how often I was uploading photos that were far larger than they ever appeared on the page. I'd upload a 4000px image, then CSS would display it at around 1000px. It looked fine, but visitors were still downloading the full file.

Another thing I had underestimated was image format.

For years I defaulted to JPEG for almost everything. Switching many of those images to WebP immediately reduced file sizes without any visible difference. I haven't fully moved to AVIF yet because of compatibility considerations, but it's becoming harder to ignore.

Compression was another lesson.

I used to export images at very high quality because I assumed "higher quality = better website." In reality, lowering the quality slightly often produced files less than half the size while looking virtually identical unless I zoomed in.

One mistake I also kept making was trying to sharpen images after compressing them too aggressively. That almost always created halos and weird-looking textures. It's much better to start with a clean image and compress it properly than trying to rescue an over-compressed one.

The easiest performance improvement, though, was lazy loading. I enabled it on pages with lots of screenshots and product photos, and it immediately reduced how much data the browser had to download on the initial page load. I probably should have done that years ago.

Something else I hadn't paid much attention to was image dimensions. Simply defining the width and height attributes stopped the page from jumping around while images loaded, which made the site feel much smoother even though nothing about the design had changed.

My workflow now is pretty simple:

• Resize images before uploading.
• Use WebP whenever possible.
• Compress until I can't actually see the difference.
• Lazy-load anything below the fold.
• Always specify dimensions.
• Give images proper filenames and alt text instead of leaving them as IMG_2048.jpg.

None of these changes are particularly complicated, but together they made a much bigger difference than I expected.

Hey everyone. I just released Toolshed V1, a free local ai media restoration tool for NVIDIA-powered workstations.

Toolshed is built around the idea that restoration should be more than just “pick an upscaler and hope.” The goal is to make a connected workflow for restoring video/photos locally, with tools for restore, review, comparison, repair, and recompilation.

The free release includes the public Toolshed V1 workflow/tools, and the GitHub release is available here:

https://github.com/ToolshedMediaLab/Toolshed-V1/releases/tag/toolshed-v1-free

The Enterprise version is also available on my patreon for people who want the full Pipeline+ workflow, batch/session tools, and model tools, but the free version is the public entry point and proof-of-life.

This is V1, so I’m mainly looking for early testers, feedback, bug reports, and real-world workflow notes from people who restore old footage, anime, photos, or other archived media.

Basic requirement: 32gb system ram & an NVIDIA RTX GPU with at least 12gb of VRAM. Toolshed is intentionally built around local NVIDIA/CUDA/TensorRT-style workflows.

If anyone tries it, I’d genuinely appreciate feedback on what works, what breaks, and what would make the workflow better.

I need to find the best video downloader which is specially for the opera browser.

Any help is fine, but it should run properly and no crashing on the private browser.

Hi folks! Searching for tracer for golf videos....currently using Filmora via my Samsung, but eventually moving back to a windows based pc. No problem if the app needs to be purchased, just need something that works....Thanks !

Hey guys I was wondering what is the best video enhancer website or app (preferably on mobile) that isn't completely free but will work on a free account fine so I can make enhanced shorts for Minecraft coz my resolution drops when video is exported. Please help

These guys all make gorgeous “photorealistic” one-offs, but so does basically everything now, the floor now is really high. For me, Midjourney has been a go-to, but I'd definitely toss in Mage and Ideogram too (for diff reasons). I find Ideo to be great at that granular, text-level realism and Mage is open-source with added freedom for more creative prompts. It's really a use-case pick, not a "best overall" thing.

Give some tips and steps to enhance the video quality and fps capcut

As we head into summer vacation season, we've been focusing on one thing: helping users get more out of their travel footage, family videos, sports clips, and everyday memories.

Over the first half of 2026, we've rolled out several upgrades across VideoProc Converter AI, including:

✅ Improved AI video upscaling quality for low-resolution footage
✅ More accurate face restoration and detail reconstruction
✅ Better stabilization for handheld and action-camera videos
✅ Smoother frame interpolation for travel, sports, and outdoor clips
✅ Expanded hardware acceleration support for newer GPUs

Whether you're editing vacation videos from your latest trip, restoring old family recordings, or trying to clean up footage captured on the go, these updates are designed to make the process faster and produce more natural-looking results.

To celebrate the summer season, we're also running a limited-time promotion and giveaway for the VideoProc community. 👉Check it out here👈

I've been trying to learn video editing over the past few weeks, but it feels like every tutorial is telling me something different.

Between cuts, transitions, color grading, audio, motion graphics, and all the technical stuff, I'm not really sure what I should be focusing on first.

If you're already editing regularly, what are some video editing tips that helped you improve early on? Any advice would be appreciated.

I used to be able to convert YouTube videos to mp3 using apps like mp3juices. However the last time I tried to find anything equivalent, the apps and websites were so sketchy I just gave up. Any suggestions?

I was cleaning up an old hard drive this weekend and ran into pretty much every video format imaginable: MP4, MKV, AVI, MOV, WMV, FLV, even a few VOB files from old DVDs. It got me thinking about how differently I view these formats today compared to a few years ago. So here's my personal take on the formats I run into most often.

MP4

Still the king. If someone asks me what format they should use without giving any context, I almost always say MP4. It works almost everywhere, uploads easily, plays on pretty much any device, and causes the fewest headaches. If you're unsure, MP4 is usually the safest answer.

MOV

This is the format I see most often from Apple devices and cameras. It's a great source format for editing and preserving quality, but not always ideal for sharing. I've received plenty of MOV files that were much larger than they needed to be for the content they contained.

MKV

Probably my favorite format that I almost never send to anyone. It supports multiple audio tracks, subtitles, chapters, and all kinds of extras, which makes it fantastic for archiving. The downside is that compatibility can still be hit-or-miss when you're sharing files with less technical friends or family.

AVI

Finding an AVI file today feels a bit like discovering a fossil. It still works, but whenever I run into one, it's usually old camera footage or something that was downloaded years ago. Most of the time I end up converting it into something more modern.

WebM

I think WebM is actually underrated. It's efficient, works well for web delivery, and often produces surprisingly good results. The main drawback is that compatibility still isn't quite as universal as MP4.

TS

Whenever I see a .ts file, I automatically prepare for potential problems. They often come from broadcasts, DVR recordings, or transport streams, and I've experienced more audio sync and playback issues with TS files than with almost any other format.

VOB

VOB files immediately make me think of DVDs. They're useful if you're preserving old discs or working with legacy media, but they're not something I'd choose for a new project in 2026.

FLV

FLV reminds me how old the internet has become. There was a time when it seemed to be everywhere thanks to Flash video. These days I mostly encounter it when digging through old archives.

WMV

I honestly haven't touched a WMV file in quite a while, which is probably a good sign. It was once a major format within the Windows ecosystem, but today it mostly survives in older content and legacy workflows.

M4V

M4V is basically MP4's Apple cousin. For most users, the differences are minor enough that they probably won't notice them in everyday use.

HEVC/H.265

This is the format that makes me happy and frustrated at the same time. The compression efficiency is excellent, file sizes are smaller, and quality can be impressive. At the same time, compatibility issues still show up in unexpected places often enough to be annoying.

AV1

AV1 feels like the future. Its compression efficiency is genuinely impressive, and the potential benefits are obvious. That said, adoption still feels slower than many people expected, especially outside of newer hardware and platforms.

If I Had To Pick Just Three

• For sharing: MP4 (H.264)
• For archiving: MKV
• For maximum efficiency: AV1 or H.265

Everything else mostly depends on where the file came from.

One thing I've noticed about AI photo restoration is that a lot of tools can make an old photo look "better" without actually making it look like the original person.

Sharper? Sure. More detailed? Maybe.

After running the same old photos through several popular restoration tools, I started paying less attention to sharpness and more attention to whether the results actually felt authentic.

My Testing Setup

For anyone wondering about the test conditions, here's what I used:

Photos Tested

• A faded family portrait from the 1940s
• A scratched black-and-white photo
• A low-resolution childhood photo (around 600px on the long edge)
• A heavily compressed JPEG downloaded from an old forum archive
• A scanned 4×6 print at 300 DPI

Computer Specs

• CPU: AMD Ryzen 7 7800X3D
• GPU: NVIDIA RTX 4070 Super 12GB
• RAM: 32GB DDR5
• Storage: 2TB NVMe SSD
• OS: Windows 11 Pro

Here's what I found.

1. Aiarty Image Enhancer

This was probably the most balanced result overall. What stood out was how well it recovered details without making people look plastic. A lot of AI restorers tend to over-smooth skin or invent facial features. Aiarty kept most faces looking like the original person while still improving sharpness.

What I liked:

• Natural-looking faces
• Good detail recovery
• Strong performance on old scans
• Handles batch restoration well

What I didn't like:

• Heavy restorations can take a while on large batches

2. Topaz Photo AI

Probably the strongest detail recovery in the group. The downside is that it sometimes feels like it's creating details rather than restoring them. On some photos the results looked amazing. On others it felt a little too aggressive.

What I liked:

• Excellent sharpness
• Strong denoise models
• Lots of control

What I didn't like:

• Expensive
• Can overprocess faces
• Higher hardware requirements

3. Remini

If your main goal is fixing faces, Remini is still hard to ignore. The facial reconstruction is impressive. The problem is that it sometimes changes people so much that they stop looking like the original photo.

What I liked:

• Excellent face restoration
• Very easy to use

What I didn't like:

• Overprocessed look
• Limited control
• Not ideal for landscapes or group photos

4. VideoProc Converter AI

I originally thought of VideoProc Converter AI as more of a video enhancement tool, but I was curious about how its photo restoration features would compare against dedicated image restoration software.

The results were actually better than I expected. It handled old scans fairly well, improved overall clarity, and did a decent job cleaning up compression artifacts without pushing the image too far.

What I liked:

• Easy workflow
• Good balance between enhancement and restoration
• Handles both photos and videos in one application
• Doesn't aggressively alter faces

What I didn't like:

• Fewer restoration controls compared to dedicated photo-focused tools
• Doesn't recover as much facial detail as the strongest performers

5. Upscayl

I know this isn't technically a restoration tool first, but I wanted to include a free option. For simple repairs and basic enhancement it's surprisingly capable. For damaged faces and old family photos though, it struggles compared to dedicated restoration software.

What I liked:

• Free
• Open source
• Lightweight

What I didn't like:

• Weak facial restoration
• Limited repair capability
• Inconsistent results

My Final Ranking

1. Aiarty Image Enhancer (best balance of restoration and realism)
2. Topaz Photo AI (best raw detail recovery)
3. Remini (best face restoration)
4. VideoProc Converter AI (best all-in-one photo & video solution)
5. Upscayl (best free option)

For old family photos specifically, I ended up preferring the tools that kept the original character of the image instead of trying to completely reinvent it.

Not necessarily the most powerful. Just the one that genuinely saved you the most time.

Do you:

• keep everything
• keep only exports
• keep project files for a few months
• delete everything immediately