Inbound sales enquiries are great — until you have to deal with them at scale. A successful campaign, a well-timed ad, or a viral post can generate dozens to hundreds of contact-us emails in a short window, each containing valuable lead information: company name, role, use case, budget signals, urgency indicators.
The problem is that this information is locked inside individual emails, buried in varying formats, with different structures, different levels of detail, and different email client quirks. Getting it into your CRM means reading each one and manually entering the data — the kind of work that makes sales reps quietly update their LinkedIn profiles.
Why email-based leads are hard to process at scale
Contact forms deliver data neatly, but actual email enquiries — forwarded leads, direct replies to campaigns, referrals, cold responses — are unstructured by nature. A prospect writes how they write, not how your CRM's import template expects. So the data entry burden falls on the person who receives the email.
At low volumes, this is manageable. At 50+ leads per day, it creates a lag between enquiry and first response that costs conversions — because speed-to-lead is one of the most reliable predictors of whether a prospect moves forward.
Research consistently shows that responding to a lead within 5 minutes of their enquiry makes them roughly 100× more likely to engage than a 30-minute response. Every minute spent on data entry is a minute not spent on that first contact.
What clean email text extraction gives you
Email to Text doesn't create structure where none exists — prospects still write what they write. But what it does is remove everything that isn't the actual content: HTML markup, email client boilerplate, signature dividers, tracking pixels, and quoted history.
What's left is clean, readable text that can be reviewed quickly, parsed manually or by AI, and entered into a CRM with far less friction. When you process 30 enquiry emails in a single pass, you end up with 30 clean text files — one per lead — that a rep can scan in a few minutes rather than spending an hour opening emails.
The batch lead processing workflow
Filter inbound enquiry emails into a folder
Set up a rule to route contact-form emails, campaign replies, or direct enquiries to a dedicated folder. At end of day (or in real time), export the folder contents as .eml files.
Drop the batch into Email to Text
Drag all the .eml files at once. The tool extracts the body content from each email — stripping HTML, footers, signatures, and quoted history — and presents clean text per email.
Export as CSV (Pro)
The Pro CSV export produces a structured table: one row per email, columns for sender name, sender email, date, subject, and clean body text. This is directly importable to most CRMs.
AI enrichment (optional but powerful)
Take the exported CSV and paste the body text column into an AI tool. Ask it to extract company name, role, stated problem, and urgency from each row. The clean input produces consistently structured output — far more reliably than asking an AI to parse raw emails.
Import to CRM and assign
Most CRMs accept CSV import with field mapping. Import the enriched CSV, map columns to CRM fields, and all leads appear in your pipeline — with contact details, enquiry content, and any AI-extracted signals already attached.
What a processed lead CSV looks like
| Sender | Date | Subject | Body (clean) | |
|---|---|---|---|---|
| James Okafor | [email protected] | 2026-05-20 | Interested in pricing | Hi, I run a 12-person ops team and we're looking for a way to... |
| Sarah Chen | [email protected] | 2026-05-20 | Quick question about Pro | Saw your tool mentioned on Reddit. We process about 200 emails a week... |
| Marcus Williams | [email protected] | 2026-05-21 | Legal use case inquiry | We're a mid-size legal firm and deal with a significant volume of... |
CRM platforms this works with
Because the output is standard CSV, it works with essentially any CRM that supports CSV import:
- HubSpot — Contacts import, custom properties mappable
- Salesforce — Lead import via Data Import Wizard
- Pipedrive — People and Deals CSV import
- Notion — CSV import into any database
- Airtable — CSV import into any base
- Google Sheets — Paste directly, use as a lightweight CRM
- Monday.com — CSV import into any board
Frequently asked questions
Does the tool extract contact information automatically?
The tool extracts the full clean body text of each email, including whatever contact information the prospect chose to include. It doesn't run named-entity recognition or automatic field extraction — that's best handled by an AI step after extraction, where you can customise the fields you want parsed.
What about emails with attachments like proposals or spec sheets?
Pro's bulk ZIP export handles this: the email body text and any attached files are both extracted. A prospect who sent a spec sheet or brief will have both their email text and the attached document available in the ZIP, ready for review.
Can we set this up as a daily automated process?
Currently the tool requires manual drag-and-drop — it's a local browser application, not a server-side pipeline. For teams wanting full automation, the clean CSV output is a useful intermediate format that can be fed into automation tools like Make or Zapier after the extraction step.
Is it safe to process prospect emails through this tool?
Yes. All processing is local — nothing is uploaded anywhere. Prospect data stays on your machine throughout the extraction process. This makes it suitable for business correspondence including commercially sensitive enquiries.
Stop entering leads manually
Batch extract, clean, and export inbound emails to CSV — ready for any CRM. Free to try, Pro for bulk.
Try free → Get Pro — $12 one-time