Mailparser alternative

What it costs, both ways #

Mailparser sells credits, one credit per email, in two shapes. Monthly plans grant credits per month; annual plans are about 20% cheaper but grant credits per year, which matters if your volume is lumpy — 3,000 a year is not 250 a month when 900 of them arrive in December.

Read the two tables against each other and the shape of the difference is clearer than any percentage: $29.95 buys 250 parsed emails at Mailparser and 25,000 here, and the free plan is 300 a month for as long as you want it rather than 30 credits for 30 days.

The add-on table, because this is the part people find out later #

Several things a developer would assume are part of a parsing product are separately priced add-ons at Mailparser, and they cost more on monthly billing than on annual. These labels are verbatim from their pricing page.

One correction, because it is easy to get this wrong and we would rather be accurate than damning: webhooks themselves are included on every Mailparser plan. What costs extra is retrying one when your endpoint was down. On the entry plan, a deploy that takes your receiver offline for ninety seconds loses those deliveries.

MailMint signs every delivery — x-mailmint-signature: t=<unix>,v1=<hex>, where the hex is hmac_sha256(secret, t + "." + rawBody) with the timestamp inside the signed string so a captured request cannot be replayed — and retries it, on the free plan, at no charge. The exact construction is documented with worked verification in Node and Python.

Side by side #

Scroll the table sideways on a narrow screen.

Rule chains against a described schema #

This is the real architectural difference, and it cuts both ways. Mailparser has no AI in it at all — not a marketing absence, a measured one: across all 183 of their help-centre articles there is not one mention of AI, LLM or machine learning. A field is defined by a chain of filters that find text between two markers, trim it, and coerce it. Their own premium answer to a hard layout is a human being at $99 per layout.

For an email that always arrives from one system in exactly one format, that determinism is a genuine strength, and it is why we are not going to tell you Mailparser is a bad product. It does the same thing every time and it will never hallucinate.

The cost appears the day the sender changes their template. A positional rule does not report that the layout moved; it returns the wrong substring, or nothing, and the Zap or webhook downstream carries on. MailMint describes the field instead — { "name": "invoice_number", "type": "string", "description": "the invoice or reference number" } — so a moved label is still found, and the fields that did get harder to read say so in their confidence.

The difference that actually matters: knowing a field is wrong #

Neither Mailparser nor any of the other three mainstream products returns a per-field confidence or tells you which characters of the message a value came from. That is not a claim we read on a competitor’s comparison page; it is an absence we went looking for, by grepping 363 vendor help-centre articles and two published API schemas.

Every MailMint field carries three things next to its value: a confidence, the source layer that produced it, and evidence — the verbatim substring of the message the value was read out of. The confidence is not the model’s opinion of itself. It is computed from things that can be checked: whether the quoted evidence really is a substring of the message, whether the deterministic layer and the model agreed independently, whether the arithmetic on an invoice reconciles, and whether the value coerced cleanly to its declared type. The model’s own self-report is one input, with the smallest weight, and it can only lower a score.

What that buys you operationally is a branch. A message with anything doubtful on it still arrives — nothing is ever silently dropped — but it arrives with needs_review: true and flags naming the field. One if in your workflow sends those to a human and books the rest. With a rule chain there is nothing to branch on.

Line items #

An invoice with a variable number of rows is where email parsers stop being interchangeable. Mailparser’s approach is one parsing rule per column and then an “explode” step; the result is a flat cross-product of values rather than a list of rows, and reassembling rows from it is your problem.

MailMint takes an array field with typed sub-fields and returns rows, plus a row_count and a truncated flag so a 400-line invoice does not quietly become a 30-line one. Detected tables also come back separately in tables[], with headers and records, whether or not you asked for them in your schema.

Changing your mind, three weeks later #

You will get a schema wrong. The question is what happens to the mail that already went through it. Mailparser keeps your last 300 emails for re-processing and does not keep the original bytes, so beyond that window the answer is that the data is gone.

MailMint stores the raw message for the retention window of your plan — 30 days on Free, 90 on Starter, 180 on Pro, 365 on Scale — and re-parses from those original bytes with any schema you like. There is a dry run, so you can see what the new schema would have produced before you commit to it. How re-parsing works.

The same job, here #

No mailbox, no DNS record, nothing stored. This runs as-is against the live service:

curl -X POST https://mailmint.app.mintapis.com/v1/parse \
  -H "Authorization: Bearer $MAILMINT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "subject": "Invoice INV-2291 from Acme Ltd",
    "text": "Invoice INV-2291\n\nItem      Qty  Amount\nWidget      3  $27.00\nShipping    1   $4.50\n\nTotal: $31.50\nDue: Sep 8, 2026\n",
    "schema": [
      { "name": "invoice_number", "type": "string", "description": "the invoice or reference number" },
      { "name": "total",          "type": "number", "description": "grand total including tax" },
      { "name": "due_date",       "type": "date",   "description": "when payment is due" },
      { "name": "line_items",     "type": "array",  "items": { "type": "object", "fields": [
          { "name": "description", "type": "string" },
          { "name": "qty",         "type": "integer" },
          { "name": "amount",      "type": "number" } ] } }
    ]
  }'

Each returned field looks like this — the value, and everything you need to decide whether to trust it:

"invoice_number": {
  "value": "INV-2291",
  "confidence": 0.98,
  "source": "rules+model",
  "evidence": "Invoice INV-2291"
}

If you are moving an existing Mailparser inbox, the migration is not a rewrite: take the labels you already named in their UI, write each as a { name, type, description }, and point the sender at your MailMint address. There is no template to teach and no sample email to upload.

When you should stay on Mailparser #

Three cases, and we would rather say them than have you find out after you migrate:

• Your data is inside PDF attachments. MailMint does not read attachment contents yet. Mailparser does not either — it points you at Docparser — but if you already run that pair, the pair works and we do not replace it.
• You need many inboxes on a cheap plan. Mailparser’s entry plan includes 20 inboxes. Ours is priced on parsed emails, not on mailbox count, but if inbox count is your axis, check both.
• You have years of working rule chains and stable senders. A parser that has been right every day for three years is worth more than a better architecture. Do not migrate a system that is not hurting.

And one case where neither of us is the answer: if your mail is single-sender plain text, you already pay for an LLM, and you run n8n, n8n’s own Information Extractor node is free and genuinely sufficient. We would rather tell you that than sell you a plan you cancel in a month.

What we cannot claim #

MailMint has paying customers, but no customer logo, testimonial or case study is quoted without permission, and there is no uptime history to quote you. Two things are missing and named rather than glossed over: the contents of PDF attachments are not read yet (the extractor exists, it is not wired into the pipeline). The n8n node is published in n8n’s verified registry and installs on n8n Cloud and self-hosted n8n. Everything else on this page is live and can be checked with one curl before you spend anything.

Try it against your own email #

The honest test is not a feature table, it is your own worst email. Take the message that your current parser gets wrong, paste its subject and body into POST /v1/parse, and look at the confidence numbers and the evidence spans on the fields it returns. It stores nothing, it needs no address and no DNS record, and the free plan — 300 parsed emails a month, no card — is enough to run a real low-volume workflow rather than only to look at one.

Get an API key   Read the quickstart   API reference

Other comparisons #