Completely free for a limited time
Turn thousands of text messages into evidence you can source and review.
Textimony runs a deterministic machine-learning pipeline over the export you import: it classifies behavioral signals, reconstructs chronology, measures patterns, and links every result back to the underlying messages.
Every feature is $0. No card required. Sign in to use the complete workspace.
Deterministic machine-learning pipeline
Deterministic classification. Chronological reconstruction. Evidence-linked results. Exact-data review. A sequence of trained models runs over the frozen case input: an issue classifier scores each message for candidate categories (harassment, threats, coercion, custody interference, boundary events), embedding models retrieve related messages by meaning, a cross-encoder reranks candidates by fit, and a span model marks the exact words behind each candidate. The dataset and analyzer configuration are hashed for each run so the same input and configuration reproduce the same output, and each result keeps its message, timestamp, participant, and case-run references.
Five-stage review workflow
Import a supported export, confirm participants and time handling, run analysis on the frozen case input, inspect candidate signals with source context, and download or rebuild the report after review.
Clearly labeled homepage example
The homepage chart and message excerpts are an illustrative sample, not real case data. They show how a review can progress without presenting the example as a customer result.
What analysis provides
Configured checks and classifier models surface candidate patterns. Candidates retain message, timestamp, participant, and case-run references for human review.
What remains a human decision
A reviewer confirms the imported record, reads the surrounding conversation, records inclusion or dismissal decisions, and decides what to share outside the workspace.
Supported record formats
Current import routes support iMessage or Android-compatible CSV, Android SMS XML, WhatsApp TXT, EML email, and JSON or JSONL records. The mapping step still requires the user to confirm participants and time handling.
Private case boundary
Private uploads, normalized messages, participant mapping, analysis runs, reviewer decisions, and report files live inside the signed-in case workflow.
Limited-time completely free access
The current offer is: Limited-time full access $0 no card · sign in only. The complete product is unlocked for a limited time; sign-in is the only access step and no card is required.
Reports and manifests
Completed runs can provide PDF, CSV, JSON, and manifest downloads. Reviewer inclusion and dismissal decisions can be used to rebuild the report for that run.
Choose the next step
Sign in to use the complete workspace free during the promotion, read the methodology, or review the privacy and trust controls.
Context before conclusions.
By Layne Weant, founder of Wentropy Labs · September 25, 2026. In Linguistics News, Textimony’s founder explains why complete message sequences, conversational context, and the limits of a dataset matter when measuring communication. The article discusses Grey Mirror’s relationship-message research. Textimony applies a separate evidence-review workflow; the article is not a validation of legal findings.
Frequently asked questions
What does Textimony do?
Textimony is text message evidence software for organizing exported SMS, iMessage, WhatsApp, email, and other supported records into a private case. It builds searchable timelines, surfaces candidate signals, and connects review and report files to the supplied source messages.
How do I prepare text messages for a U.S. legal review?
Keep the original export unchanged, record its source and export date, confirm the participants and timezone, and retain surrounding messages and available attachments. Build a separate review copy and source inventory. Your attorney determines which state or federal rules apply and what foundation the court requires.
Which message formats can Textimony analyze?
The web workflow prepares compatible CSV, WhatsApp TXT, HTML, JSON and JSONL exports, Android SMS XML, and EML email. Supported chat files can also be supplied in ZIP or GZ archives. Choose the conversation and confirm both people before import. Missing dates and unresolved speakers need review; a file extension alone does not guarantee compatibility.
Can I analyze a full conversation instead of screenshots?
Yes. Start with the complete supported export you have, select the conversations between the same two people, and review the imported date coverage before analysis. Preparation and import use the same saved message records. The run freezes its in-scope input; a measurement that cannot cover that input reports its limitation rather than a sampled full-history result.
What does Textimony cost?
Textimony is completely free for a limited time. Sign in to use the available case, analysis, review, report, and export features for $0, with no payment card required. The promotion has no published end date; check the pricing page for the current offer.
What can I download after analysis?
A completed run provides PDF and HTML reports, CSV and JSON exports, and a manifest. The manifest records source fingerprints and run provenance. Review candidate messages with their context before sharing a report; reports can be rebuilt after reviewer decisions.
Does an analysis report prove a message is authentic or admissible?
No. A source fingerprint can show whether the same file has changed since it was hashed. It does not establish authorship, truth, or admissibility. Textimony organizes supplied records and candidate signals for human review; legal conclusions and evidentiary decisions remain with qualified counsel and the court.
Are uploaded conversations public?
Uploads, messages, participant mapping, runs, reviewer decisions, and downloads belong to the signed-in case workflow. Public pages and search discovery files contain product information and guides. Read the privacy policy for server-side processing, retention, deletion, and access details.