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Data transfer calculator
Estimate how long it takes to transfer a file over a given bandwidth. Enter file size and connection speed to get the transfer duration in seconds, minutes, hours or days.
| Estimated time | - |
|---|---|
| In seconds | - |
| In minutes | - |
| In hours | - |
| In days | - |
What it is
The data transfer calculator estimates how much time it takes to download or upload a file of a given size at a specific internet connection speed.
How it works
Enter the file size (e.g., 10 GB) and your connection speed (e.g., 100 Mbps). The calculator automatically converts units and computes the total time.
Examples
- 1.5 GB movie at 10 Mbps will download in about 20 minutes.
- 50 GB game at 100 Mbps will take about 1 hour 10 minutes.
Limitations & notes
Results are theoretical. Actual speed may be lower due to protocol overhead (TCP/IP), network congestion, and server-side limits.
FAQ
- Why is speed in Mbps but size in MB? This is a historical convention: storage and file sizes use bytes (KB, MB, GB), while network bandwidth uses bits (Kbps, Mbps, Gbps). Since 1 byte equals 8 bits, you need to divide the bit rate by 8 to get the byte rate. A 100 Mbps connection transfers about 12.5 MB per second.
- What is the difference between MB/s and Mbps? MB/s (megabytes per second) and Mbps (megabits per second) differ by a factor of 8. A 100 Mbps connection equals 12.5 MB/s. ISPs typically advertise speeds in Mbps (larger number), while download managers show MB/s (smaller number) - both describe the same bandwidth.
- Why is the actual transfer slower than calculated? Real-world transfers are affected by protocol overhead (TCP headers, encryption), network congestion, server throttling and disk write speed. Typical TCP/IP overhead reduces usable throughput by 5-10%. For small files, connection setup time (latency) dominates over raw bandwidth.
- Does this account for compression? No, the calculator assumes uncompressed data transfer. Protocols like HTTP with gzip can significantly reduce the actual data transmitted for compressible content (text, HTML, JSON), making transfers faster than the raw calculation suggests.