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fast_mail_parser

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📦 Now published as fast-mail-parser-ng

Install it under the new name:

pip install fast-mail-parser-ng

Your code does not change. The import path is still fast_mail_parser:

from fast_mail_parser import parse_email

Migrating from fast-mail-parser? Change the name in your requirements file and nothing else — no code edits, same API.

- fast-mail-parser
+ fast-mail-parser-ng

Looking for the old fast-mail-parser package? It is a different, unmaintained upload frozen at 0.2.5 (June 2022) that this project cannot publish to. See Why the name changed.

A very fast Python library for parsing .eml files. It is built on the Rust mailparse crate via pyo3, and parses roughly 5–10x faster than pure-Python implementations, depending on the CPU — see Benchmark for the measured spread and how to reproduce it.

Quickstart

pip install fast-mail-parser-ng

from fast_mail_parser import parse_email

with open("message.eml", "rb") as f:
    email = parse_email(f.read())

print(email.subject)
print(email.text_plain[0])

That is the whole surface for the common case. See Usage for the full API, and Python support for wheel coverage.

Coming from the stdlib email module, or upgrading from 0.6.x? See the migration guide — its snippets are executed in CI, so they cannot go stale — and compatibility.md for every known difference from the stdlib, each one enforced by a test.

Why the name changed

The fast-mail-parser name on PyPI belongs to a PyPI account this project no longer controls, and it is frozen at an unmaintained 0.2.5 from June 2022. Only a project owner can publish to a name, so fixes could not reach it — the PEP 541 transfer request (pypi/support#11044) has been open and unattended since June 2026.

Rather than hold releases behind that queue indefinitely, this project publishes under a name it owns. The import path was deliberately left as fast_mail_parser so the change costs you one line in a requirements file and no code. If the transfer is ever granted, fast-mail-parser will resume as an alias.

Full history in the changelog.

Python support

Wheels target the CPython stable ABI (cp311-abi3): one wheel per platform covers every supported CPython version, including versions released after the package — a new Python no longer has to wait for a new release.

Python Support
CPython 3.11+ (including future versions) Prebuilt wheel
CPython 3.13t/3.14t (free-threaded) Builds from source; the extension currently re-enables the GIL on import (#101)
CPython ≤ 3.10 Not supported (last compatible release: 0.2.5)
PyPy Not supported

13 prebuilt wheels ship per release: manylinux and musllinux across x86_64, i686, aarch64, armv7, s390x and ppc64le; Windows x64 and x86; macOS arm64. Every release is published via PyPI Trusted Publishing with PEP 740 attestations.

Benchmark

All three libraries asked for the same result — subject, both body lists, and attachments with their payloads decoded — on the same message:

Library Work performed Min time Relative
fast_mail_parser parse + decode bodies + decode attachments 2.09 ms 1.00x
mail-parser from_string + .parse() + read attributes 13.45 ms 6.44x
stdlib email message_from_bytes + walk + get_content / get_payload 17.93 ms 8.59x

Corpus: tests/data/large_message.eml (multipart/mixed, 6 MIME parts, 2 base64 attachments). CPython 3.12.14 on Linux x86_64 (GitHub Actions ubuntu-latest), mail-parser 4.6.4, minimum of 31+ rounds.

These ratios move with the hardware, so treat them as a magnitude rather than a constant. An earlier run of this same comparison on a faster CI runner recorded 8.50x and 10.01x rather than 6.44x and 8.59x, and an Apple Silicon laptop gives 5.25x and 6.42x: the interpreted parsers and the Rust extension do not scale together across CPUs. Regenerate the table for your own machine with make bench-table, which prints its own methodology line; CI also renders it into the job summary of every benchmark run.

Two things this table deliberately does not do:

  • It does not quote the CI gate's numbers. That gate compares a revision against its base rather than against another library, precisely because absolute cross-implementation ratios are unstable between machines — they were observed to swing ~26% between CI runners while within-run noise was ~0.3%.
  • It does not reuse the gate's mail-parser baseline, which measures MailParser.from_string alone. That call never invokes .parse(), so it is a stable number for regression detection but not a fair cross-library figure.

Usage

parse_email accepts the raw message as str or bytes and returns a PyMail. It raises ParseError if the payload cannot be parsed.

PyMail exposes the following attributes:

Attribute Type Description
subject str Subject header (empty string if missing).
date str Date header (empty string if missing).
date_parsed datetime | None date as a tz-aware UTC datetime; computed on access.
from_ PyAddress | None The From mailbox. Named from_; from is a keyword.
to / cc / bcc / reply_to list[PyAddress] Recipients, groups flattened.
text_plain list[str] All text/plain bodies.
text_html list[str] All text/html bodies.
headers dict[str, list[str]] All values of every header, in order.
attachments list[PyAttachment] Non-body parts (see below).

Each PyAttachment has:

Attribute Type Description
mimetype str The part's media type.
filename str See below; "" when the part declares none.
content bytes Decoded bytes, transfer-encoding undone.
content_id str | None Content-ID with angle brackets stripped.
disposition str | None Raw Content-Disposition token, or None if absent.

Addresses

Address headers are parsed rather than handed back as strings — RFC 5322 address syntax (display names, quoted strings containing commas, groups, comments) is exactly what hand-rolled regexes get wrong:

mail.from_.display_name   # 'Jane Doe'  (None for a bare address)
mail.from_.address        # 'jane@example.com'

[a.address for a in mail.to]   # ['a@example.com', 'b@example.com']
  • RFC 5322 groups (To: team: a@x, b@x;) are flattened to their member mailboxes; the group name is structure and is not exposed.
  • RFC 2047 encoded display names are decoded, including inside quoted names.
  • A header that does not parse yields an empty list (or None for from_) rather than raising — a malformed To: never fails an otherwise good message, and the raw value stays in headers.

Headers

headers maps each header name to a list of every value it appeared with, in message order, so repeated fields survive:

mail.headers["Received"]   # ['from mx1...', 'from mx2...', 'from mx3...']
mail.headers["From"]       # ['sender@example.com'] -- always a list

subject and date are read from the parsed headers directly rather than out of this map, so they always reflect the first occurrence of their field.

Resolving inline images (cid:)

content_id is exposed without angle brackets, which is the form RFC 2392 cid: URLs use — so resolving the images an HTML body references is a lookup:

import re

mail = parse_email(raw)
by_cid = {a.content_id: a for a in mail.attachments if a.content_id}

for cid in re.findall(r'cid:([^"\'>\s]+)', mail.text_html[0]):
    attachment = by_cid.get(cid)
    if attachment:
        print(cid, attachment.mimetype, len(attachment.content), "bytes")

disposition reports the part's raw Content-Disposition token, and distinguishes an absent header (None) from an explicit inline — the two are different statements about intent.

Parsing a batch

parse_many parses a whole batch in one call, in parallel, releasing the GIL for the batch rather than per message:

from fast_mail_parser import ParseError, parse_many

results = parse_many(payloads)              # list[str | bytes] in, results in input order
results = parse_many(payloads, threads=8)   # cap the workers; default is the machine's

Each slot is a PyMail or a ParseError instance — returned, not raised — so one malformed message does not cost you the rest of the batch, and inputs zip cleanly to outcomes:

for payload, outcome in zip(payloads, parse_many(payloads)):
    if isinstance(outcome, ParseError):
        quarantine(payload, reason=str(outcome))
    else:
        index(outcome)

Pass raise_on_error=True to raise the first failure instead.

Chunk large workloads. Every parsed message is materialised before the call returns, so a batch of ten thousand one-megabyte mails holds essentially all of it decoded at once. Feed it in chunks of a few hundred rather than a whole mailbox.

Error handling

parse_email raises a subtype of ParseError, chosen by what actually went wrong:

Exception Meaning
HeaderParseError The header section could not be parsed — usually the input is not an email at all.
MimeStructureError Malformed MIME structure, or a resource cap tripped: over 100 MiB of input, or nesting deeper than 256 levels.
DecodeError A part's Content-Transfer-Encoding did not decode (bad base64, bad quoted-printable).

All three inherit from ParseError, so existing code keeps working:

from fast_mail_parser import DecodeError, ParseError, parse_email

try:
    mail = parse_email(raw)
except DecodeError:
    quarantine(raw)          # one part's encoding is broken
except ParseError:
    reject(raw)              # not parseable at all

The distinction is worth acting on: a DecodeError says one part of an otherwise plausible message is corrupt, while a HeaderParseError usually says the bytes were never an email.

Bodies vs. attachments

The two are disjoint — a part appears in exactly one place. Classification follows RFC 2183 rather than the media type alone:

  • A part is body text (text_plain / text_html) when it is text/plain or text/html and is not marked Content-Disposition: attachment. A Content-Type; name parameter does not change this — an inline text part stays in the body.
  • Every other part is an attachment. That includes a text/plain part marked Content-Disposition: attachment (its lines are not mixed into the body) and inline images referenced by Content-ID.
  • multipart/* container nodes are MIME structure and appear in neither list.

filename comes from the Content-Disposition filename parameter — including RFC 2231 extended values such as filename*=utf-8''... — falling back to the Content-Type name parameter. It is "" when the part declares neither, which is normal for inline images.

import sys

from fast_mail_parser import parse_email, ParseError

# parse_email accepts both str and bytes; reading in binary mode is safest.
with open('message.eml', 'rb') as f:
    message_payload = f.read()

try:
    email = parse_email(message_payload)
except ParseError as e:
    print("Failed to parse email:", e)
    sys.exit(1)

print("Subject:", email.subject)
print("Date:", email.date)

# headers is a dict[str, list[str]]: every occurrence of a repeated header is
# kept, in the order it appeared. Single-valued headers are one-element lists.
for name, values in email.headers.items():
    for value in values:
        print(f"{name}: {value}")

# So a delivery path stays intact -- for Received, the first entry is the most
# recent hop.
for hop in email.headers.get("Received", []):
    print("Received:", hop)

# text_plain and text_html are lists of strings (one entry per matching part).
for body in email.text_plain:
    print("Plain text body:", body)

for body in email.text_html:
    print("HTML body:", body)

# attachments is a list of PyAttachment objects.
for attachment in email.attachments:
    print("Attachment:", attachment.filename)
    print("  mimetype:", attachment.mimetype)
    print("  size:", len(attachment.content), "bytes")  # content is bytes

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

See CONTRIBUTING.md for how to build from source, run the tests, and the PR conventions (linting, CI, DCO sign-off).

Project links

Data verified by PyPI on Aug 26, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

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  • Released:
  • Archived:
Newer release available (0.7.1)

Owner

PyPI data
Data sourced directly from PyPI's database.

2 maintainers

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Data sourced directly from PyPI's database.
Avatar for kurok from gravatar.com kurok Avatar for moaddib from gravatar.com moaddib

Credits

Author: Andrii Sokyrko

Maintainer: Namecheap

GitHub Statistics

Data verified by PyPI on Aug 26, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

Apache Software License

Requires

Python >=3.11

Provides Extra

test

Tags

parser email rfc822 mime maildir

Classifiers

Report project as malware

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