Transcription & Reporting Platforms
Kliv is an AI app builder. Describe your transcription workflow, and it builds a real platform for client uploads, job states, proofing, delivery, search, and per-minute billing.
Just enter your idea into the text box and AI will build it for you
Kliv isn’t a transcription engine. It’s an AI app builder that builds software for you.
You describe the app you need in your own words, and Kliv builds it: the database, client workspaces, file access, job states, proofing screens, reports, invoices, and delivery portal. What you get is a real app that’s yours. You can run it on your own domain, connect the services you already use, and keep changing it by asking for changes. It isn’t a template with file upload bolted on.
On this page, that app is a transcription operations platform. Kliv builds all kinds of web apps; this is one built around custody, workflow, reporting, and per-minute billing.
For a transcription studio, the hard part is not only producing text. It is knowing whose audio is where, which jobs are in proofing, which style guide applies, when a transcript was delivered, and how many audio minutes should appear on the invoice.
Kliv builds the studio workflow as an app. Clients upload into their own workspaces, jobs move through clear states, style guides travel with the client, delivered transcripts stay searchable, and billing totals the same job rows the team worked from.
The records one interview creates before it becomes a delivered transcript.
One audio file creates one job record with client, duration, due date, and state: uploaded, drafted, in proofing, or delivered.
Recordings are private files from the moment they land, readable inside their client’s workspace and nowhere else.
One client may want [inaudible] with timestamps, while another wants timecodes every 30 seconds. The client’s conventions sit on the account and apply to that client’s jobs.
Machine output can be a first draft, not the deliverable. Versions stack, the proofreader signs the pass, and delivery is a state only a signed proof can reach.
Every job logs its audio minutes. Month-end billing totals those rows instead of asking someone to add a spreadsheet column.
Clients can read and search finished transcripts in their own portal, so a phrase from 90 hours of interviews is findable later.
Here’s how one studio might use it. It’s only an example — you would describe your own clients, engines, proofing steps, style guides, and billing rates.
A maritime museum uploads 90 hours of dockworker interviews. Ninety jobs open in the museum’s workspace, each with duration and due date.
Delphine’s chosen transcription engine runs as a server-side function and attaches first drafts to each job. The studio can replace that engine later without moving jobs or clients.
A typist proofs against the museum’s conventions: speaker names, brackets, and time rules. The proof pass is signed and stored as part of the job record.
When transcripts flip to delivered, they appear in the museum portal and become searchable. An archivist can find the ferry-strike interview by a phrase weeks later.
The month’s invoice totals 5,412 minutes at $0.90 per minute and attaches a report showing which interviews made up the amount.
Kliv builds from your description, so the more detail you give, the closer the first version. Include intake, access rules, job states, proofing, delivery, search, and billing. Here are three to build on:
Client workspaces, proofing states, and per-minute billing.
“Build a transcription studio platform for oral history projects. Each client has a private workspace, jobs move from upload to draft to proofing to delivered, client style guides apply to every job, delivered transcripts are searchable, and invoices charge $0.90 per audio minute with a job report attached.”
Episode transcripts and show notes on deadline.
“Build a production desk for my podcast clients. Each show has a private workspace, each episode has a transcript job and show-notes draft, due dates are tracked by episode, clients approve delivery, and monthly invoices itemize completed episodes and audio minutes.”
Consented recordings with restricted access.
“Build an interview transcription tracker for our research lab. Recordings are restricted to each study team, each transcript carries the consent reference, jobs move through draft and review, and only approved study members can download delivered files.”
Kliv does not need to be the transcription engine. Your engine or typists can do the transcription. Kliv builds the platform around that work: intake, custody, states, style guides, delivery, search, reporting, and invoices.
Client walls are built into the data. Each client’s recordings and transcripts live behind row rules and file rules from the start. A museum workspace and a film-crew workspace do not share a room.
Reporting uses the same rows as the work. Minutes by client, turnaround by month, proofing load by typist, and revenue events can all be drawn from job records that already exist.
The studio may use AI as one component, but the business is custody, workflow, billing, and reporting. AI apps on Kliv is where that balance is covered more directly.
Kliv is an AI app builder that creates custom web apps from a description. For transcription, it builds the client workspaces, job tracker, file access, proofing flow, delivery portal, reports, and invoices around your workflow.
A real app. Kliv builds the database, screens, file rules, states, and reports for your studio. It is not a generic upload form.
Yes. You can ask for changes later, such as adding a new job state, changing a style-guide field, adding a report, or replacing a transcription engine.
Not by itself. Your engine or your typists do the transcribing. Kliv builds the operations platform around them.
Each job logs its audio minutes, and the invoice totals those rows at your rate, such as $0.90 per minute. The bill can include a report showing exactly which jobs made up the amount.
In the app’s file store, private by default and scoped to the client workspace by access rules attached to the files.
Yes. Style-guide rules can live on the client account and appear on every job for that client.
Yes. Delivered transcripts can appear in the client portal and be searchable within that client’s workspace.
You replace the server-side function and its key. The API key can live in the platform vault, outside the codebase. Jobs, transcripts, style guides, clients, and billing history stay where they are.
Yes. Clients and staff can use the platform on your own domain.
Yes. The code syncs to your own Git repository, so leaving is a git pull rather than a rebuild.
Yes. A client can have its own per-minute rate or billing terms, and invoices can total jobs according to that client’s catalog.
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A warm platform for dementia-friendly cafés, connecting caregivers, volunteers, and coordinators.
Track remittances and household budgets seamlessly.
Manage your book club easily with proposals, voting, and history tracking.
Portfolio and booking site for Northfern Tattoo Studio.
Sistema de gestión del agua comunitario para aldeas.
職人が作品を展示し、受注管理を行うサイトです。
Crowd-sourced surf condition tracking app.
A portal for HOA management at Riverside Commons.
小規模レストラン向けの予約管理サイトです。
A management tool for Scout Troop 214, focused on outings, advancement, and communication.
A whānau coordination tool for Māori-medium schools.
Mobile library coordinator for Hmong and Lao communities.
Describe intake, proofing, delivery, style guides, client access, and how you bill. Kliv builds the transcription platform that keeps those parts together.