Primary use
Aggregate XML review
Convert raw DMARC reports into a clearer summary before remediation work starts.
Free DMARC report analyzer
Free DMARC report analyzer for aggregate XML reports
Run a free DMARC report analyzer to turn aggregate XML into a usable operational summary. Review total volume, policy outcomes, alignment rates, and top sending sources before changing enforcement or opening remediation.
Analyze a DMARC XML report
Paste an aggregate report to summarize it
Paste the full DMARC aggregate XML into the field below. The analyzer returns volume, alignment, policy outcome, and top source summaries.
Best fit
Use this when a raw DMARC XML report is slowing decisions down
This page is strongest when a team already has aggregate XML and needs the fastest path to source-level understanding before changing enforcement or chasing failures.
- Summarize report volume without manual XML parsing
- Find the senders driving most failed alignment
- Review enforcement posture before policy tightening
Upgrade path
One-shot XML parsing is useful, recurring monitoring is better
After you understand the current report, move into a monitoring workflow that keeps sender drift visible without waiting for someone to manually inspect XML.
- Keep DMARC posture visible between release cycles
- Track sender cleanup over time instead of once
- Route policy and source findings to the right owners
Key details
Core signal
Alignment rate
See how much of the reported traffic is fully aligned versus failing policy.
Most useful view
Top sources
Find the IPs and source clusters driving most report volume or failures.
Best moment
Policy review
Use this before enforcement changes, sender cleanup, or escalation with provider owners.
What this checks
A strong DMARC report analyzer should surface the operational signals first
The useful output is not the raw XML tree. It is the report scope, the alignment outcome, and which sources account for most of the traffic or failure volume.
Volume
Total messages
See the scale of the reporting window before focusing on individual sources.
Alignment
Pass and fail rates
Understand whether enforcement problems are concentrated or systemic.
Policy
Disposition outcomes
Review how much traffic fell into none, quarantine, or reject dispositions.
Sources
Top IPs
Find the sender paths that deserve the next remediation step.
Operational use
Best used for enforcement planning, cleanup, and sender review
Searches for a DMARC report analyzer usually come from operators trying to make a concrete decision about unknown sources or failing alignment, not just from teams learning the format.
Policy rollout review
Check whether the current report shows enough aligned traffic to justify moving from observation toward stronger enforcement.
Unknown sender cleanup
Identify the source IPs creating most of the noise before you start a cleanup effort with platform or vendor owners.
Escalation evidence
Use the summary to hand stakeholders a clearer picture than raw XML when decisions need to move quickly.
Related tools
DMARC checker
Validate the live DMARC record itself when the report suggests policy gaps.
Open toolEmail auth checker
Run a combined SPF, DKIM, DMARC, BIMI, MX, MTA-STS, and TLS-RPT check for the affected domain.
Open toolEmail header analyzer
Inspect real messages when a reported sender path needs runtime evidence.
Open toolDomain monitor
Move from report review into a faster sender-domain posture summary.
Open toolFAQ
What DMARC report format does this analyzer accept?
This page accepts aggregate DMARC XML so you can summarize total volume, alignment rates, policy outcomes, and the source IPs generating most of the traffic.
What is the fastest way to use the result?
Start with total messages, failed alignment, and the top source list. That usually tells you whether the issue is concentrated in one sender path or spread across multiple systems.
Does this replace DMARC monitoring?
No. This is a one-shot report analyzer. Ongoing monitoring is still the right model when you need recurring visibility and shared operational ownership.
When should teams analyze aggregate reports?
Use them during rollout review, enforcement planning, sender cleanup, and any period where DMARC pass rates or unknown sources need a concrete explanation.