Convert bytes to human-readable sizes
Type a byte count — see SI (KB, MB, GB, TB) and IEC (KiB, MiB, GiB, TiB) representations side-by-side. Disambiguate disk vs RAM marketing.
SI vs IEC — what's the difference?
SI uses powers of 1000 (1 KB = 1000 B), the way disk vendors market capacity. IEC uses powers of 1024 (1 KiB = 1024 B), the way operating systems and RAM are sized.
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Type bytes
The raw byte count from your tool (ls -l, du, stat, …).
Parsing is strict-but-tolerant — comments and trailing commas are accepted on input where the source format historically permits them; output stays canonical.
instricttolerantliveparsein · sourcebytes · live1500000000
loaded · parsedtarget · ready - 02
SI rollups
Divide by 1000^k for KB, MB, GB.
Conversion preserves type information where the target supports it (numbers stay numeric, booleans stay boolean) so the destination parser never has to re-coerce.
sitype-preservinglosslesslivememoised÷ · options1000 · live1.5 GB
options applied · liveround-trip - 03
IEC rollups
Divide by 1024^k for KiB, MiB, GiB.
Re-encoding is idempotent: running output back through the same converter produces the same bytes, which keeps round-trips git-friendly.
iecidempotentround-tripdiff-cleandeterministic÷ · converted1024 · ready1.397 GiB
converted · livediff-clean - 04
Pick the right one
Disk = SI; RAM and most OS tools = IEC.
Copy writes via
navigator.clipboard.writeText; downloads use the target’s native MIME so editors apply the right syntax highlighting on open.pickclipboardtarget MIMEblobclient-side✓ · copiedready · done1.5 GB ≈ 1.397 GiB
shipped · ready to shipsuccess
Converting between formats, safely
Pick the strictest source format
Lossy formats hide bugs. Choose JSON or YAML as your source-of-truth, convert downstream as needed.
Round-trip in CI
If your converter is idempotent, your CI can verify A → B → A equals the original. Catches subtle data loss.
Numbers vs strings differ
YAML/TOML have a number type; CSV doesn’t. Quote IDs in CSV to keep leading-zero values intact.
Watch character encoding
Source format may be Latin-1 / Windows-1252; target should be UTF-8. Convert encoding before structure.
Preserve comments where you can
YAML and TOML support comments. Don’t silently drop them — they often encode intent.
Schema-aware beats blind
Use a schema to guide conversion. Field types, required-ness, and defaults survive better with structure.
When to humanise bytes
Storage, transfer, capacity.
Capacity planning
Translate ticket sizes to GB before procurement. Type information survives: numbers stay numeric, booleans stay boolean, strings stay strings. The destination parser doesn't have to re-coerce, which avoids the "'true' becomes "true"" bug class.
round-trip safeDisk vs OS
Explain why a 1 TB drive shows 931 GiB. Run output back through the inverse converter to verify idempotent round-trips in CI. A → B → A should produce byte-identical input — if it doesn't, you've found data loss.
type-preservingBandwidth
Reconcile Mbps vs MiB/s for video bitrates. Comments and metadata survive where the target format supports them (YAML, TOML, HCL). The tool doesn't silently drop intent-encoded annotations, which keeps your config self-documenting.
schema-awareLogs
Quickly spot which log line means MB vs MiB. Pair with a schema (JSON Schema, OpenAPI, Zod, Pydantic) to catch shape drift on either side. Catch breaking changes at conversion time rather than at runtime in production.
losslessS3 quotas
AWS uses GiB internally — convert before invoicing. Output respects target-format conventions: quoting in CSV, indent in YAML, brackets in JSON. Existing parsers don't need patches, and the result drops into legacy pipelines unchanged.
diff-cleanDocumentation
Pick one convention and stick with it. Encoding-aware: handles UTF-8 vs UTF-16 vs Latin-1 / Windows-1252 transparently. The character-set surprise that breaks "works on my machine" doesn't apply here.
spec-gradeFrequently asked questions
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Tell us what you need. We ship the top requests every two weeks.