Video clipping and repurposing system.
Opportunity
A video clipping and repurposing system, built once, resold in multiples as a subscription SaaS service.
Long form video in, reviewed short clips out, ranking that improves from approvals and results. Three inputs change per client: the definition of a good clip, the domain word list, and the channels. Everything else is shared.
Four things no tool sells
A client can buy the parts themselves. Several subscriptions, a person carrying files between them, and none of the following.
Their own definition of a good clip
Ranking built on what the client says matters.
Every tool on the market ranks for general engagement. That surfaces what plays to a broad feed, which is the wrong question for any specific audience.
Domain vocabulary
Specialist terms transcribed correctly.
Generic models mangle the words that matter most in a specialist field. The word list is built with the client and fed to the transcription layer.
A review gate
Nothing publishes without a person approving it.
Consumer tools post on a schedule. Any client with expertise or sensitive material at stake needs a person in front of the publish button, and a record of who approved what.
A system that learns
Approvals, rejections, and results change what gets picked next.
Off the shelf tools pick the same way in month twelve as in week one. Nothing they do is informed by which of this client's clips actually worked.
Applications
| Candidate | Fit | Status |
|---|---|---|
| Doro Mind | Strong. Regulated, specialist vocabulary, review requirement. | Proposal drafted. Three models. Pricing pending. |
| SBS | Unverified Content repurposing already underway. Scope and overlap unknown. | Confirm before assuming anything |
| The podcast | Clean test bed. No regulated data, no compliance owner, no client waiting. | Not scoped |
| Kobo internal | Sales and marketing assets from existing recordings | Same system, no separate build |
Tool stack
ElevenLabs Scribe
BuySpeech to text. Word level timings, speaker separation.
Keyterm prompting takes up to 1000 domain terms, so specialist vocabulary comes back spelled correctly. Reads video directly. $0.22 per audio hour, so effectively free at this volume. HIPAA via signed BAA, plus zero retention and EU residency modes. Verified
Ranking
BuildRanks moments against the client's own criteria.
The product. Every vendor ranks on general engagement, which is the wrong question for a specialist audience.
Flagging
BuildMarks anything sensitive before review.
What makes the system usable by clients with something at stake.
ffmpeg
BuildCuts clips from the ranked timecodes.
No clipping vendor accepts supplied timecodes, Vizard included. Cutting from our own is what keeps ranking authoritative rather than a filter on somebody else's shortlist. Verified
Submagic
BuyCaptions, filler removal, per channel finishing.
Takes a video URL plus a custom dictionary. Fed pre-cut clips, so its plan length caps of 2, 5, or 30 minutes never bite. Project creation is rate limited to roughly 30 an hour, which a large backfill will hit. Verified
Review screen
BuildApprove, edit, or reject with a reason.
The rejection reason is what feeds the learning loop. Skipping it is cheap now and expensive later.
Orchestration
BuildRuns the sequence, handles failure, routes files.
n8n works for a client-owned instance. For a hosted product it needs a commercial agreement or a swap. See section 09.
Scheduler and analytics
TheirsPosts approved clips, reports performance.
Distribution stays the client's. Needs an API so results read back into the loop.
Assessment Every tool assessed 13 tools, verified August 2026
| Tool | Does | API | Takes our timecodes | Verdict |
|---|---|---|---|---|
| ElevenLabs Scribe | Transcription | Yes Verified | n/a | In |
| ffmpeg | Cutting | Local binary | Yes | In |
| Submagic | Captions, finishing | Yes Verified | Takes pre-cut clips | In |
| Opus Clip | Transcribe, select, caption | Business tier, custom price Verified | No | Trial, only if it beats three subscriptions |
| quso.ai, formerly Vidyo.ai | Same, plus scheduling | Reported | Unconfirmed | Trial |
| Vizard | Selects and cuts | Yes, entry tier Verified | No. No timecode parameter exists. | Out. It would own the selection, which is the product. |
| Munch Studio | Done-for-you service | None | No | Out. A competitor. $38 to $398 a month, 5 to 15 brands. Verified |
| Riverside | Recording, plus its own clipping | Business plan only | No | Out of the pipeline. Ingest side, upstream of scope. |
| Repurpose.io | Cross-posting | Yes | n/a | Out. Distribution is the client's. |
| Flowjin | Audio-first clipping | None verified | No | Out. Weaker on long files. |
| Choppity | Clipping | None verified | No | Out. Duration caps. |
| Montage | Clipping with its own ranking | None verified | No | Out. Its ranking duplicates the build. |
| Descript | Editing suite | Limited | No | Out. Human editing tool, not a pipeline component. |
Verified against vendor documentation. Vendors change pricing, gate APIs behind higher tiers, get acquired, or discontinue self-serve products. Munch did the last one. Assume a row here is wrong within six months and re-verify before quoting.
System
Seven stages. The client produces and distributes. Kobo builds the middle.
Wiring
The tools do not talk to each other. Every join is glue that does not exist until someone writes it, and the glue is most of the build.
Why the pipeline is shaped this way
Cutting a clip means knowing where it starts and ends in the recording. Every clipping vendor works those out for itself and none of them will take a list from anywhere else. Ask one to cut a specific moment and there is no way to tell it which moment.
So if the ranking is going to decide what gets cut, the cutting has to happen on our side. ffmpeg does it from a start and end time, which is a small piece of work and the reason the ranking layer is the thing in charge rather than a filter applied to a vendor's shortlist.
It has a second benefit. The captioning service only ever receives clips that are already under a minute, so its per-video length limits never come into play.
What passes between steps
Two things worth keeping
The transcript. Almost every later step reads from it. The ranking works out which moments matter by reading the text. The start and end times come from it. The draft post copy is written from it. So it gets saved and kept, not deleted once the clips are made.
The job record. One record per recording that follows it all the way through: which moments were picked, what they scored, what got flagged, who approved or rejected what and why, where the finished clips went, and later how each one performed.
Without that record nobody can answer why a clip was cut, who signed off on it, or whether it worked. It is also what the ranking learns from, since improving means comparing past decisions against what happened next.
Pricing logic
| Comparable | Price | What they actually get |
|---|---|---|
| DIY clipping tools | $15 to $100 a month Market | Engagement-ranked clips, no domain vocabulary, no review, no memory |
| Munch Studio | $38 to $398 a month, 1 to 15 brands Verified | Done-for-you service. Templated output, 500 to 7,500 minutes of repurposing. |
| Freelance editors | $50 to $500 per clip Market | Human judgment, no system, cost scales linearly with volume |
| Clipper networks | $0.02 to $0.10 CPM Market | Independent editors posting from their own accounts. Unavailable to anyone regulated. |
| Managed agencies | $1K to $10K a month Market | A team cutting clips for your channels. Forever. |
| Comparable automation builds | $15K to $50K+ Market | Complex orchestration with AI and custom logic |
| Post-build support plans | $200 to $500 a month Market | Upkeep only |
Sources: FlowEngine and AY Automate agency guides, Clipping Culture and LuvKaizen service reviews, all 2026. Munch Studio from its own pricing page.
Where the price sits
The floor is $50 tools. The ceiling is $10K a month agencies, paid indefinitely. Model C at $2.5K to $3.5K a month sits between them. The gap above the floor is carried by the four things in section 01.
Cost per clip
The frame that lands hardest against freelance rates. At $2.5K a month Derived:
| Clips reviewed per month | Effective cost per clip | Against $50 to $500 freelance |
|---|---|---|
| 10 | $250 | Mid range |
| 20 | $125 | Below most freelance rates |
| 40 | $63 | Near the floor |
| 60 | $42 | Below it |
Volume is the variable. A client feeding the system regularly gets a cost per clip no freelancer can match, and one recording a quarter does not. Worth measuring in Phase 1 rather than promising.
Munch Studio at $398 a month covers 15 brands, which sits well under the agency band and is easy for a prospect to find. What it sells is templated output: no domain vocabulary, no review gate, no learning, and no system the client controls.
Business models
Model A One-time Build and hand off $25K to $40K fixed Market
Fixed price per phase, ownership transfers at handoff. Phase 1 alone runs $5K to $8K, upkeep after is optional at $200 to $500 a month Market.
- Clears every blocker in section 09
- Client holds the subscriptions, so their footage stays in their own vendor relationships
- Revenue ends when the build does. The code stops earning.
Model B Financed Financed build $2K to $3K a month, 12 to 18 months Derived
Little or nothing down, then a fixed monthly fee. Runs on the client's servers from day one. Ownership and admin transfer at the final payment.
- No-upfront close plus a year of predictable revenue
- No licensing or custody work, because it never runs on Kobo systems
- Collection risk. Terms need a clause covering what happens if payments stop.
Model C Subscription Target model Subscription on Kobo systems $2.5K to $3.5K a month, no end date Derived
Nothing upfront, monthly fee with no end date, clients reach the system through Kobo. This is the only model where several clients share one build.
- Highest monthly rate, and the only one still earning past the build
- The engineering becomes an asset a second client can buy
- Kobo takes on uptime, support, vendor breakage, hosting, and churn
- Every blocker in section 09 has to be solved first
Money over time
| Model | Collected by month 24 | After month 24 | Kobo obligation |
|---|---|---|---|
| A. Build and hand off | $25K to $52K | Upkeep only, if retained | Ends at handoff |
| B. Financed build | $24K to $54K | Nothing. They own it. | Ends at transfer |
| C. Subscription | $60K to $84K | Continues, minus hosting, license, and support costs | No end date |
Blockers
What stands in the way of each model. Everything in C's column is solvable, and all of it is cheaper before the first build than after.
| Issue | A | B | C |
|---|---|---|---|
| Orchestration licensing. n8n is free for internal use; hosting it and charging for access needs a commercial agreement. | Clear | Clear | Blocked until n8n is licensed or swapped for Activepieces, Temporal, Kestra, Airflow, or owned code |
| Client footage custody. Anything regulated raises this immediately. | Clear, their servers | Clear, their servers | Open, data terms per client and a BAA where health data is involved |
| Multi-tenancy. Client separation on shared infrastructure. | Not needed | Not needed | Required, and only cheap if designed in before the first build |
| The ownership pitch. The client ends up owning the system. | Holds | Holds, one year later | Gone, replaced by low risk and cancel-anytime |
| Firm model. Kobo sells fixed-scope engagements, not open-ended retainers. | Clear | Clear, fixed term | Departs from it. A deliberate change of business model. |
| Operations. Uptime, support hours, vendor API breakage, churn. | Theirs | Theirs at transfer | Kobo's, indefinitely, across every client at once |
| Exit path. Export and deletion, documented. | Not needed | Not needed | Required, or the lock-in objection lands |
Sequencing
Doro Mind is the live deal, so it sets the pace. Two other tracks can run alongside it.
| Track | What happens | Why now |
|---|---|---|
| Doro Mind | First paying build. Model decided before signature. | The only track with a buyer and a date |
| SBS | Evaluate for fit and overlap with the repurposing work already underway. Possible parallel build. | A second client is what turns a build into a product, and the assessment costs nothing |
| The podcast | Test bed on own material. Same system, no client waiting. | Failures land somewhere harmless, and it becomes a worked example later |
The model decision
| Path | Trade |
|---|---|
| Doro Mind as client one of a product | Section 09's work happens now, on a live deal, with the ownership pitch rewritten |
| Ship Doro Mind under B, productize after | Lower risk, keeps the code, delays the recurring revenue. Same asset in the end. |
SBS changes this calculation. If it evaluates well and lands close behind Doro Mind, the product case is made by two clients rather than argued from one.