📤 Best Export Settings for Social Media Platforms

 🎬✨ Get Crisp, Clear, & Scroll-Stopping Videos Every Time!


Want your videos to look amazing on every platform? 📱💻 Whether you're uploading to Instagram, YouTube, or Facebook—exporting with the right settings is key to getting more views, likes, and shares. 🚀

Let’s break down the best export settings for top platforms like a pro editor! 🎞️💡


📱 Instagram (Reels, Stories & Posts)

🔹 Resolution: 1080 x 1920 (vertical)

🔹 Aspect Ratio: 9:16

🔹 Format: MP4 (H.264 codec)

🔹 Frame Rate: 30 fps

🔹 Bitrate: 5 – 10 Mbps

🔹 Audio: AAC, 44.1 kHz, 128 kbps

👉 Tips: Keep the file under 100 MB for quick uploads. Use captions and music to boost engagement 🎵


🎥 YouTube

🔹 Resolution: 1920 x 1080 (HD) or 3840 x 2160 (4K)

🔹 Aspect Ratio: 16:9

🔹 Format: MP4 (H.264)

🔹 Frame Rate: 24, 30, or 60 fps

🔹 Bitrate:

HD: 8 – 12 Mbps

4K: 35 – 45 Mbps

🔹 Audio: AAC, 48 kHz, 320 kbps

👉 Tips: Use custom thumbnails and add end screens for better retention 🔁


📘 Facebook

🔹 Resolution: 1080 x 1350 (portrait) or 1280 x 720 (landscape)

🔹 Aspect Ratio: 4:5 (portrait) or 16:9 (landscape)

🔹 Format: MP4

🔹 Frame Rate: 30 fps

🔹 Bitrate: 6 Mbps (HD)

🔹 Audio: AAC, 44.1 kHz

👉 Tips: Add captions—most users watch without sound 🔇


🎵 TikTok

🔹 Resolution: 1080 x 1920

🔹 Aspect Ratio: 9:16

🔹 Format: MP4

🔹 Frame Rate: 30 fps

🔹 Bitrate: 8 Mbps

🔹 Audio: AAC, 44.1 kHz, 128 kbps

👉 Tips: Keep videos short, engaging, and trend-based 🎯🔥


📌 General Export Tips for Editors:

✅ Use VBR (Variable Bit Rate) for efficient compression

✅ Keep file size low without sacrificing quality

✅ Always preview on your phone before uploading

✅ Use export presets in software like Premiere Pro, Final Cut Pro, or DaVinci Resolve 🎞️


🎓 Learn Exporting Like a Pro at Quality Thought!

Our Video Editing Course includes:

✔️ Hands-on training for platform-based exports

✔️ Software tutorials (Premiere Pro, CapCut, DaVinci)

✔️ Reels, YouTube, TikTok, and more

✔️ Certification & placement support

📍 Join today at Quality Thought Training Institute and create videos that shine on every screen! 💻📲

Learn Video Editing Training Course


Comments

Post a Comment

Popular posts from this blog

DevOps vs Agile: Key Differences Explained

 In the modern software development landscape, DevOps and Agile are two dominant methodologies that aim to deliver high-quality software efficiently and reliably. While they share common goals—such as faster releases, improved collaboration, and continuous improvement—they are not the same. This blog explains the key differences between DevOps and Agile, their core principles, and how they complement each other. Definition and Focus Agile is a software development methodology focused on iterative development, where requirements and solutions evolve through collaboration between cross-functional teams. Agile emphasizes adaptability, customer feedback, and working software delivered in small, frequent iterations (sprints). DevOps, on the other hand, is a software delivery approach that bridges the gap between development and operations teams. It emphasizes automation, continuous integration/continuous delivery (CI/CD), monitoring, and collaboration to achieve faster, more reliable so...
Read more

Regression Analysis in Python

Regression analysis is one of the most widely used statistical techniques in data science and machine learning. It helps us understand relationships between variables and make predictions. In this blog, we’ll walk through the basics of regression analysis using Python and its popular libraries. 🔍 What is Regression Analysis? Regression analysis is a predictive modeling technique used to examine the relationship between a dependent (target) variable and one or more independent (predictor) variables. The most common type is linear regression, which assumes a linear relationship between variables. For example, predicting house prices based on area, location, and number of bedrooms is a regression problem. 🛠 Libraries Required Before we start, install the required Python libraries: pip install numpy pandas matplotlib seaborn scikit-learn Now, let's import them: import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns from sklearn.linear_model impor...
Read more

Top 10 Projects to Build Using the MERN Stack

 The MERN Stack — MongoDB, Express.js, React.js, and Node.js — is one of the most popular full-stack JavaScript frameworks used to build dynamic and scalable web applications. Whether you're a beginner or an experienced developer, building real-world projects is the best way to strengthen your MERN stack skills. Here are 10 project ideas to help you practice and showcase your expertise. Personal Portfolio Website Create a portfolio to showcase your skills, projects, and resume. Use React for the frontend and Node.js with Express to store contact form submissions in MongoDB. Blog Platform Develop a fully functional blog where users can register, write posts, edit content, and leave comments. This project helps you implement authentication, CRUD operations, and routing. E-Commerce Store Build an online shopping platform with product listings, search filters, user authentication, shopping cart functionality, and payment integration like Stripe or Razorpay. Social Media App Design a so...
Read more