ThreadRecap VS Chatonfile

ThreadRecap's answer

Single-message transcribers make you forward voice notes one by one and lose the order of the chat. Generic AI assistants hit limits on long threads and ignore voice notes. Chat statistics tools give word clouds, not what was said. ThreadRecap handles the whole export at once and keeps sender and time on every line. The export opens free in the browser, the exact price shows before paying, and you pay once per conversation, with no subscription.

Chatonfile's answer:

You can open, search and read your chat for free, and it stays on your device while you do. You see the exact price before you pay, from $5, with no subscription and no account. If you order, we delete your chat, voice notes and photos as soon as the PDF is made, and the PDF is deleted after 30 days or whenever you choose. The PDF is ready to print, email or hand over, usually within a few minutes.

ThreadRecap's answer

Solo professionals and individuals who need to establish what was actually agreed in a conversation. In practice: real estate agents, recruiters and HR, small business owners, freelancers dealing with clients, and people documenting a personal dispute over a rental, a partnership or a family matter. A second, lighter audience uses it to catch up on long work or family group chats. Buyers are spread across more than 20 countries, led by the UK, the US, Italy and Switzerland.

Chatonfile's answer:

People who need to show what was said on WhatsApp. That includes tenants dealing with a landlord, people going through a separation or custody arrangement, employees with a workplace issue, and freelancers chasing unpaid work. It also suits anyone who wants to understand or keep a long conversation with someone.

ThreadRecap's answer

It started as a personal tool. I kept receiving long voice notes and endless work threads, and wanted the main points without listening to everything again. I built the first version over a weekend and published it as a proof of concept, mostly to see whether anyone else cared. People did, but not for the reason I expected. Instead of catching up on chats, they were using it to document disputes, prove agreements and produce a record of what was said. That reframed the whole product, and the roadmap has followed the users ever since.

Chatonfile's answer:

Important things now get agreed on WhatsApp, often in voice notes, and later someone says they never agreed to them. The proof is there, but it's buried in a long chat or in audio you can't easily hand to anyone. Chatonfile.com was built so nobody has to rely on their word against someone else's.

ThreadRecap's answer

Next.js and React with TypeScript, Tailwind CSS, Node.js on the backend, deployed on Vercel. Voice note transcription uses OpenAI Whisper, analysis runs on large language models, and payments go through Stripe.

Chatonfile's answer:

TypeScript, Astro, React, Tailwind CSS, Hono, SQLite with Drizzle, and Chromium for making the PDFs. Google Gemini, Anthropic Claude and OpenAI handle the voice notes and summaries, Stripe takes payments, Resend for emails.

ThreadRecap's answer

Most tools transcribe one voice message at a time, or summarize text you paste. ThreadRecap takes the raw WhatsApp export, the .zip with thousands of messages and hours of voice notes, and writes out every voice message where it was sent, so the whole conversation reads as one dated record. A commitment made in a 4-minute audio at 11pm sits in date order next to everything else. On top comes a summary of decisions, commitments and open questions, and the record downloads as PDF and TXT.

Chatonfile's answer:

Chatonfile.com turns a WhatsApp export into one clear document, with the voice notes included. Every message is numbered and dated, every voice note is written out, and each photo stays where it was sent. An AI summary lists the key highlights and promises, each pointing back to its message. A fingerprint of the export lets anyone holding the file check that it matches.