CONVERT
APE → FLAC
Fast, secure APE to FLAC conversion. No registration required.
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APE is the Monkey's Audio lossless codec, trading compression ratio for CPU cost. Reaching a FLAC from there is one hop. Need a FLAC version of a APE recording for a podcast host, audio book platform or DAW that refuses the original container? Drop the file above and our encoder produces a clean FLAC you can drag straight into the destination tool. Metadata such as title, artist and cover art travels with the audio. In practice APE is the Monkey's Audio lossless codec, trading compression ratio for CPU cost. On the other end, FLAC is the Free Lossless Audio Codec, offering 40–60% compression with zero quality loss.
Monkey's Audio
Source formatAPE (Monkey's Audio) is a lossless audio compression format with high compression ratio.
FLAC Audio
Target formatFLAC is an open-source lossless audio codec that compresses audio to roughly 50-60% of its original size without any quality loss. It is the preferred format for audiophiles and music archival.
Why convert APE to FLAC
Monkey's Audio is great in its own niche, but FLAC Audio is either more universally playable or better suited to the device you are targeting. Converting lets you ship the audio without asking listeners to install a codec. The loss in quality between the two is negligible at sensible bitrates.
HOW TO CONVERT
APE → FLAC
Upload the APE
Drop or select your APE file. The upload is encrypted and the file is queued for conversion.
Transcode via FFmpeg
FFmpeg decodes the APE stream to PCM internally, then re-encodes as FLAC at the bitrate you select.
Download the FLAC
The FLAC is delivered as a direct download; metadata and cover art transfer automatically where possible.
Common Use Cases
Podcast distribution
Podcast hosts (Spotify, Apple, Acast) publish audio as FLAC when the workflow requires it; converting upfront skips server-side transcoding.
DAW ingestion
Pro Tools, Logic, Ableton and Reaper pull FLAC into projects without decode overhead, so scrubbing and waveform display are snappy.
Portable players
FLAC plays reliably on old iPods, car stereos, Bluetooth speakers and fitness trackers where APE support is spotty.
Voice memo sharing
Voice notes recorded as APE travel to phones and desktops as FLAC without recipients installing extra codecs.
APE vs FLAC — Strengths and limitations
What each format does best, and where it falls short.
APE Strengths
- Highest lossless compression ratio among mainstream codecs.
- Lossless — bit-exact with the source.
- Active development since 2000.
- APEv2 metadata tags support rich cataloging.
Limitations
- Windows-centric tooling; macOS/Linux support via libmac is second-class.
- Slow encoding at high levels (30-60× realtime).
- Restrictive license blocked adoption by streaming services.
FLAC Strengths
- Lossless — decoded audio is bit-exact identical to the source.
- 40-60% smaller than uncompressed WAV/AIFF.
- Free, patent-free, open-source reference implementation.
- Built-in error detection via MD5 checksums.
- Streaming-friendly — seek tables let you jump to any timestamp instantly.
Limitations
- File sizes still large compared to lossy codecs (5-10× bigger than AAC for same audio).
- Not suitable for low-bandwidth scenarios like streaming on mobile data.
- Older MP3 players and car stereos may not decode FLAC.
APE vs FLAC — Technical specifications
Side-by-side comparison of the technical details.
| Specification | APE | FLAC |
|---|---|---|
| MIME type | audio/x-ape | audio/flac |
| Extension | .ape | .flac |
| Compression levels | Fast, Normal, High, Extra High, Insane | — |
| Metadata | APEv2 tags | — |
| Max sample rate | 192 kHz | 655 350 Hz |
| Standard | — | Open-source reference implementation (Xiph.Org) |
| Max bit depth | — | 32 bits per sample |
| Max channels | — | 8 |
APE vs FLAC — Typical file sizes
Approximate file sizes for common scenarios.
APE
- 3-min song (Normal) 18-25 MB
- 3-min song (Insane) 16-22 MB
- Full CD album 220-350 MB
FLAC
- 3-min song (CD quality) 20-30 MB
- Full album (10 tracks, CD) 250-400 MB
- 3-min song (hi-res 24-bit/96 kHz) 80-120 MB
- Live concert recording (24-bit) 2-10 GB
Quality & Compatibility
Lossy-to-lossy transcoding (most cross-format audio jobs) loses a tiny amount of quality on each pass — usually inaudible at our default VBR ~190 kbps for music or 96 kbps for speech. Lossy-to-lossless conversions freeze the existing quality but cannot improve it; lossless-to-lossy is only as good as the target bitrate you choose.
Tips for Best Results
- Pick 128 kbps for podcasts and voice, 192–256 kbps for music, 320 kbps only if the audio will be edited further downstream.
- Keep the APE master alongside the FLAC — re-encoding a lossy format twice accumulates audible artefacts.
- For mono voice content, convert to mono FLAC explicitly to halve file size without any quality loss.
Frequently Asked Questions
Frequently Asked Questions
Lossy-to-lossy conversions (most combinations) re-compress the audio, which technically introduces some loss. At a 192 kbps or higher target it is inaudible on normal equipment. Lossy-to-lossless conversions freeze the existing quality but cannot improve it; lossless-to-lossy transcodes are only as good as the target bitrate you choose.
For voice content (podcasts, audiobooks, lectures) 128 kbps is indistinguishable from higher bitrates. For music, 192-256 kbps covers most listening; 320 kbps is the ceiling for FLAC and the right choice for audio you plan to edit further. Above that, prefer a lossless target instead.
Yes. Title, artist, album, year and cover art travel from the APE container to the FLAC container automatically where both formats support them. If a tag field has no FLAC equivalent, it is dropped silently. Use any tag editor (Mp3tag, MusicBrainz Picard) to fine-tune afterwards.
Related comparisons
See these formats side by side to understand which fits your use case best.
Related Guides
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Read guideSecure & Private Conversion
Your files are encrypted during transfer, processed in isolated containers, and automatically deleted within 60 minutes. We never read, share, or store your data.