
Dixa
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ThreadRecap
Dixa is customer service software that empowers brands to create great experiences for customers and support teams alike in a conversational, friendly, and engaging way. Dixa unifies voice, email, chat, and messaging apps in one single platform, enabling brands to have more meaningful conversations with their customers, driving customer loyalty, and ultimately “customer friendships.” With Dixa, agents have all the context they need to provide fast, efficient, and effective customer service every time.
With customer recognition features, Dixa makes it possible to know your customers the second they reach out. We do this by displaying each customer's conversation history with your business in a timeline as well as their order history instantly. This ensures teams have the information they need to solve customer inquiries faster while delivering more personalized support.
All conversation types (phone, email, chat, etc.) are placed into queues and automatically routed to the appropriate agents while conversation data is translated into real-time analytics. Dixa features include VoIP, IVR, callback, click-to-call, call recording, automations, quick responses, customizable chat widgets, real-time and historical reporting, and advanced routing.
Dixa’s user-friendly interface and easy setup was made to enhance the agent experience and allow teams to focus on the customer and not the software.
ThreadRecap turns WhatsApp exports into structured, timestamped reports you can act on or hand to someone else.
What it does
Who it is for
Solo professionals in real estate, HR, recruiting, law and client services who need a defensible record of what was agreed, plus anyone catching up on long work, family or community threads.
How it works
Export the chat from WhatsApp, upload the .zip or .txt, choose an analysis goal, get the report in seconds. No setup, no integration, no account for the other participants.
Pricing
Credit packs with no subscription required, plus an optional monthly plan for regular use. Free credits on signup.
Languages
English, Portuguese, Spanish, German, Italian and French.
Independent and bootstrapped, launched in January 2026.
Dixa
ThreadRecapDixa is recommended for small to medium-sized businesses and support teams that require a comprehensive and integrated solution for managing customer interactions across multiple channels. It is particularly beneficial for those who prioritize user experience and are looking to leverage data analytics to enhance their support strategies.
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ThreadRecap's answer:
Most summarizers expect you to paste text. ThreadRecap takes the raw WhatsApp export, the .zip with thousands of messages and voice notes, and turns it into a timestamped record you can hand to someone else. Voice messages are transcribed and merged into the same timeline as the text, so a commitment made in a 4 minute audio at 11pm sits in date order next to everything else. The output is not a paragraph of prose. It is decisions, agreements, deadlines, responsibilities and quoted messages, in chronological order.
ThreadRecap's answer:
Generic AI assistants can summarize a chat you paste, but they hit token limits on long threads, ignore voice notes, and give you a different structure every time you ask. Chat statistics tools give you word clouds and message counts, which is not what you need when you are trying to prove what was agreed. ThreadRecap is built for the specific job of turning a full export into a structured, repeatable record. It works in six languages, needs no integration or account for the other participants, and you pay per analysis instead of subscribing.
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.
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.
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.
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