Video Upload Time Estimator
Estimate upload time for 4K ProRes masters, S3 multipart delivery and broadcast hand-off. Compute size from source bitrate, add parallel streams and overhead.
About Video Upload Time Estimator
Video Upload Time Estimator helps creators schedule deliveries by calculating how long a transfer will take with real-world bandwidth. Add protocol overhead to reflect provider throttling, switch between presets, or break down large files into chunked uploads for YouTube, Vimeo, and cloud storage workflows.
Why subtract protocol overhead?
Upload speeds advertised by providers often ignore TCP/IP overhead, congestion, and throttling. Applying 5–20% overhead reflects more realistic sustained speeds.
How accurate is the estimate?
Results are approximate. Network congestion, Wi-Fi interference, or parallel uploads can slow down transfers. Measure your speed with a wired test when possible.
What does chunk size do?
Chunk size is optional. If your uploader sends the file in parts (e.g. 128 MB segments), the tool shows how many chunks are needed and how long each takes.

Can I plan multiple uploads?
Yes. Run the estimate for each file or add their upload times together. You can also use presets to compare home vs. office connections quickly.
How do I size a clip from its bitrate before rendering?
Use the 'Estimate from source bitrate' panel. File size = bitrate × duration ÷ 8. A 10-minute 4K clip at 100 Mbps is 100,000,000 × 600 ÷ 8 ≈ 7.5 GB. ProRes 422 HQ runs ~736 Mbps, so 8 minutes is ~44 GB — useful for planning a delivery window before the export finishes.
Does running parallel/multipart streams actually upload faster?
On a fat symmetric pipe, yes — up to a point. A single TCP stream rarely saturates a gigabit uplink because throughput is capped by window size ÷ round-trip time (the bandwidth-delay product, BDP). S3 multipart, gsutil -m and similar tools open N concurrent streams to fill the pipe. But the aggregate can never exceed your total uplink, and per-stream caps or server limits flatten the gain past a handful of streams. This tool multiplies effective throughput by N, capped at your raw link rate.
What about Aspera, Signiant or other accelerated transfer?
Broadcast and large-master delivery often use UDP-based accelerated protocols (Aspera FASP, Signiant) instead of plain HTTP/TCP. They sidestep TCP's window-size and congestion limits, so they can saturate a high-latency long-haul link that HTTP cannot. Model them by setting parallel streams high or by entering an effective speed close to your raw uplink with low overhead — they behave like a single stream that already fills the BDP.
