
Upload your text messages, search for what matters, and download a court-ready evidence report — every message with its date, time, and sender. Free to try, no signup.
A startup from Saint Augustine, the United States, founded by Evan Parra.
This page is designed to help you find out whether TextTimeline is good and if it is the right choice for you.
TextTimeline turns text message exports into court-ready evidence for custody, divorce, and harassment cases. Upload your iPhone or Android message export, search years of texts like you'd search Google, and download a court-formatted deliverable: a $19 timestamped transcript (delivered within 24 hours) or a $99 evidence report where every finding cites its source messages. Web-based, nothing to install, free demo with no signup. Files are deleted after processing and never used to train AI.
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Most tools in this category are printers - they get messages onto paper. TextTimeline is an evidence tool: it parses the actual message export file (not screenshots), preserves every timestamp, sender, and source reference, makes years of messages searchable in plain language, and produces court-formatted deliverables where every finding cites the exact source messages. It is also the only tool in the space built for both iPhone and Android exports, entirely in the browser with nothing to install.
Three reasons. First, integrity of the evidence: TextTimeline works from the real export data, so the output carries original timestamps and senders - screenshot-OCR apps produce a transcription with no underlying data to authenticate. Second, scale: when a case involves thousands of messages across years, printing isn't the problem - finding is, and TextTimeline is the only option with real search. Third, pricing: $19 or $99 one-time with a free no-signup demo, while alternatives charge weekly or monthly subscriptions or require a desktop app purchase.
People in the middle of a custody, divorce, or harassment matter who need their text messages in court-ready form - often self-represented, often on a phone, often facing a hearing date. The secondary audience is the professionals who serve them: family-law attorneys and paralegals who need a client's message history organized, searchable, and cited without hours of manual work.
TextTimeline was built by a solo founder who went through his own family-law case and hit the problem directly: years of text messages that mattered, and no reasonable way to get them into a form a court could use - screenshots get challenged, printing everything is absurd, and forensic services cost $500-$2,000. He built the tool he needed: upload the export, search for what matters, download something you can hand to a judge.
Python (FastAPI) backend and a React/TypeScript frontend, running on Google Cloud. Search is retrieval-first: semantic embeddings plus keyword search (FAISS + BM25) fused together, so plain-language queries find messages that don't share exact words. Language models are deliberately narrow in scope - used only for query expansion and for summaries grounded in already-selected messages, never to read or classify the full corpus, and never trained on user data.
Individuals in family-law matters - our users are in confidential legal proceedings, so we do not disclose or name customers.
We have collected here some useful links to help you find out if TextTimeline is good.
Check the traffic stats of TextTimeline on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of TextTimeline on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of TextTimeline's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of TextTimeline on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about TextTimeline on Reddit. This can help you find out how popualr the product is and what people think about it.
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