One client texts photos of every receipt. Another forwards a monthly email. A third drops off a shoebox of paper in March. tvmmm gives every client one place to send documents and one set of supplier rules β then publishes each client's records to that client's own ledger, with no retyping. When intake is consistent, month-end stops being a hunt for missing paper.
No card details are requested for a trial request. The demo below runs on plain text β image OCR is not part of it, and the demo never posts to a real ledger. See the bookkeeper setup β
Grand Harbour Hotel Β· 24 Oct 2026 Β· EUR 1,284.00 Β· NL003456789B01
Animated sample document, not a customer record. Run the same pipeline yourself in the live demo β every field carries its own confidence score, and anything below your threshold goes to review instead of posting silently.
For a single business, losing a receipt is annoying. For a bookkeeper with many clients, the expensive problem is different: there is no single intake process at all. Documents arrive by text, email, shared drive and paper, and each one is handled differently depending on who picks it up.
Thirty clients mean thirty habits. Some get entered twice, some never get attached to a transaction, and nobody can say, at a glance, what is still missing for a given client.
The same supplier gets coded one way in January and another way in March, because the rule lived in someone's head instead of in the system. Month-to-month comparisons then stop meaning anything.
A busy period arrives, receipts pile up, and catching up feels large enough to keep postponing β until a shoebox arrives in March and the whole quarter has to be reconstructed.
No templates to build, no field mapping to maintain. Give each client one intake route, set that client's supplier rules once, and the same pipeline runs for every client β publishing only to that client's ledger, never to another client's books.
A dedicated address, a mobile upload, or a shared folder β one route per client, and clients are told to stop sending documents anywhere else.
Documents are parsed into vendor, date, tax ID, line items and totals. Each field carries a confidence score.
Low-confidence fields are routed to a review queue. Confident documents flow through on your approval rules.
Clean entries post to the client's own ledger, with tax codes and cost centres already mapped, and the original document kept alongside the record.
The tools below are real, well-known products, described here in general terms so you can judge fit. tvmmm's own row is honest about status: its ledger connections are set up during trial onboarding and are not live from this demo.
The point of the table is fit, not a winner: a firm handling client bookkeeping usually needs capture and per-client publishing; a company whose own employees spend usually needs expense approval as well. tvmmm is positioned for the first job. See the honest status of every integration on the integrations page.
Use this list to judge tvmmm, or any competitor, before you commit. Weakness in any one row creates manual work later, however good the demo looks.
Why it matters: Wrong merchant, date or amount creates more manual work than it saves
What tvmmm does about it: Per-field confidence scores; low-confidence fields go to review, never post silently β test it in the live demo
Why it matters: Direct publishing removes re-entry
What tvmmm does about it: Sandbox test push for signed-in accounts; production connection during trial onboarding, per ledger, via that ledger's own approval screen
Why it matters: Recurring vendors should always be coded the same way
What tvmmm does about it: One rule set per client, set before the backlog arrives; see the setup section below
Why it matters: Most receipts are captured at the point of payment, not at a desk
What tvmmm does about it: Mobile capture is an onboarding feature; the demo today parses text only
Why it matters: Travel and international suppliers do not all bill in one currency
What tvmmm does about it: Currency is read from the total line in the demo; other formats route to review
Why it matters: For a tax review, the original document, its date and its ledger match must all be retrievable
What tvmmm does about it: Originals are kept with the record until you delete them; see Security
Why it matters: Clearing a backlog one document at a time never gets done
What tvmmm does about it: Batch upload and review by supplier or month are part of the backlog workflow below
Every receipt system fails the same way: it works for a month, then a busy period arrives, receipts pile up, and catching up feels too large to start. The design goal is therefore not completeness, but a habit that costs almost nothing on a bad day.
Pick a dedicated address, a mobile upload, or a shared folder for each client. Tell clients exactly where documents go β and stop accepting them anywhere else.
Before the backlog comes in, set rules for recurring vendors: category, tax treatment, payment method. Most documents should then publish without review.
Decide, per client, whether a document creates a new transaction or matches an existing bank-feed entry β and apply that rule every time. Mixing the two is where most duplicates come from.
The receipt is in hand and the business purpose is still in memory at the point of payment. Anything that requires sorting a pile later will eventually not happen.
A card slip on its own rarely proves enough. What supports a business cost is evidence of what was bought, from whom, when, for how much, and why it was a business cost β plus a record that matches the ledger.
Keep the itemised receipt, not only the card slip β the itemisation is what shows what was actually bought.
Record the purpose while it is still remembered, not at year-end. For meals, travel and anything with a plausible personal use, purpose and attendees are part of the record, not an optional extra.
An unattached receipt proves very little. The document, its transaction and its ledger entry should be retrievable together, for as long as the relevant return can be examined.
Retention periods differ by document type β ordinary supporting records, property records and payroll records do not all expire together. Check the current guidance for the categories that apply to you, and set retention by tax year. This page is general information, not tax advice.
Bulk-upload the backlog, let supplier rules code what they can, and review the rest in batches β by supplier, then by month. Match documents to existing bank-feed entries instead of creating new ones, so nothing is recorded twice. Once the backlog is clear, switch the client to a single ongoing intake route and keep it there.
Try the demo on a sample backlog item Read the full bookkeeper setup
This demo runs the real extraction pipeline: rule-based parsing, per-field confidence, and validation checks. Pick a sample, or paste / upload a plain-text receipt of your own. The cafΓ© sample is deliberately imperfect β its totals do not add up and it has no tax ID β so you can see review-queue routing, not just the happy path.
Press βRun extractionβ to see the parsed fields.
Paste the text of a receipt (for example, OCR output or a plain-text invoice), or upload a .txt file. The same parser runs on it. Image OCR is not part of this demo; use the text version of your document here.
What this demo does not do: it does not read images, it does not connect to your email or ledger, and its βsimulate postingβ button does not post anything to a real accounting system. Those connections are part of trial onboarding β see the demo guide.
tvmmm sits between document capture and your general ledger. Nothing has to be replaced, and existing approval chains keep working. Integration status is stated honestly on the integrations page β the demo itself does not connect to any of these systems.
Ledgers
Xero, QuickBooks Online, NetSuite, Sage Intacct
Expense apps
Ramp, Brex, Expensify, Airwallex
Storage & chat
SharePoint, Google Drive, Dropbox, S3 buckets, Slack and Teams approvals
Financial documents deserve a short, checkable answer β not a vague promise. Full detail is on the security page.
Data is encrypted in transit with TLS. Trial requests store only the contact details you submit.
Nothing posts to your ledger silently: low-confidence fields go to a human review queue, and approval rules decide what flows through.
Source files are kept with your account until you delete them, and can be purged on request. Structured records persist in your accounting system independently.
Per document, not per seat: a bookkeeper's whole client list can be reviewed without paying per reviewer. Volume plans roll over unused documents for the first quarter. These are the plans offered β not a list of existing customers.
For small teams automating their first inbox.
For controllers running multi-entity close.
For groups with custom compliance needs.
Every field carries its own confidence score, so anything below your threshold lands in the review queue instead of posting silently. Run the live demo β it shows the exact scores and checks for each document type, including a deliberately imperfect cafΓ© receipt.
No. The public demo parses plain text only. If your document is an image or PDF, use its text/OCR output for the demo; signed-in accounts can upload receipt images for OCR as a test.
The demo parser handles English month names, ISO dates (2026-10-24), and day-first numeric dates (24/10/2026), plus three-letter currency codes on the total line (EUR, USD, HKD and similar). Other formats are not silently guessed β missing or unrecognised fields are routed to the review queue. See the documentation.
Demo text is processed in memory for the extraction result only and is not stored as a trial record. Trial requests store only the contact details you submit. Full detail: Privacy Policy and Security.
Yes β in the demo above, paste or upload a plain-text receipt and run the same extraction and checks. Connecting your own inbox, mobile capture and ledger sync is part of the free trial.