Services · Mobile app development · AI video creation apps

AI video apps for Los Angeles studios, agencies and creators, built with consent in mind.

Codeeo offers AI video generator app development Los Angeles production companies, post houses, agencies and creator startups can ship with confidence. We build iOS, Android and web apps that turn scripts, stills, footage and brand assets into finished video, with performer consent records, digital replica controls and provenance labels designed around California law and the union rules that shape work in Hollywood, Burbank and Culver City.

In this city a generated face or voice is rarely just a technical asset. It may belong to a working actor, a deceased star's estate or a talent agency client. The software has to know who approved what, for which project, and when that approval ends. That is where most of our effort goes, and it is the question to put to any AI video generator app development company Los Angeles buyers are comparing.

Built for
Production companies, post houses, ad agencies, talent managers and creator platforms across Los Angeles and Southern California.
Typical timeline
Timing is set in a written plan after discovery, once model choice, consent scope and pipeline integrations are agreed.
What you own
Your source code, model settings, prompt libraries, consent records, cloud accounts, app store listings and all user data.
Rated
4.7 / 5 from 23 Google reviews

200+ companies across the US and the UAEFrom a first store to a listed developer

Modon
Majid Al Futtaim
HP
Belkin
Dulsco Group
OneClickDrive
Hanayen
HMS
Clocksprings
Ghezlan

What we build

Ten parts of an AI video product that works in Hollywood.

A generative video tool aimed at Los Angeles buyers gets tested hard. Editors in Burbank expect files that drop into their existing timelines. Agency producers in Playa Vista and Santa Monica want brand safe output they can show a client the same afternoon. Business affairs teams want paperwork that proves every likeness in a clip was licensed for that use.

Custom AI video generator app development Los Angeles teams ask for rarely starts from a blank template, because each studio already has habits worth keeping. The features below are the ones we scope most often for Southern California launches. Discovery decides which belong in the first release. Each is planned as part of one system, so the consent ledger informs the render queue, the render queue reports real compute costs to billing, and the export step attaches the right credentials to every file. That shared design is what stops a promising demo from becoming a legal problem once real performers and real clients are involved.

Explain your project
  • Digital replica consent ledger

    Every scanned face or cloned voice is linked to a signed authorization naming the project, the permitted uses and the end date. Talent reps can review terms inside a portal, and a revoked approval blocks new renders that use that replica straight away.

    Business affairs can show who agreed to what, for each clip.

  • Previs and storyboard generation

    Directors and showrunners turn a scene description into rough animated boards, camera moves and timing before a shoot day is booked. Versions sit side by side so the team can compare framing choices without paying for a full render each time.

    Faster creative decisions before money is spent on set.

  • Editorial pipeline exports

    Generated shots export with the codecs, frame rates and metadata post houses already use, plus edit lists that open in common editing and finishing tools. Shot names follow your own naming rules so assistants are not renaming files by hand.

    Generated shots arrive in the cut ready to use.

  • Synthetic performer tagging

    The app records whether each figure on screen is a licensed replica, a fully synthetic character or real captured footage. Producers working under a SAG-AFTRA agreement get the information they need for any notice or bargaining the contract calls for.

    No guessing later about what kind of performer appears in a scene.

  • Estate and deceased personality checks

    Requests that name or resemble a well known person are routed to review, with a register of estates that have granted rights. This supports compliance with California rules on digital replicas of deceased personalities.

    Fewer accidental uses of a likeness nobody licensed.

  • Content credentials and labels

    Embedded provenance data and optional on screen labels mark generated material. The settings are built to support the disclosure duties in California's AI Transparency Act for providers it covers, and client teams can add their own disclosure wording.

    Platforms, distributors and viewers can tell what was synthetic.

  • Abuse filters and takedown desk

    Prompt and upload screening blocks intimate imagery of real people, and a public request form feeds a takedown queue with deadline tracking for removals under the federal TAKE IT DOWN Act.

    Harmful content stopped early and valid requests handled on time.

  • Bilingual voice and captions

    Voiceover and captions in English and Spanish as standard, with Korean, Armenian, Tagalog or other languages added where your audience in the city calls for them. Every cloned voice still goes through the same consent ledger.

    One edit reaches more of the people who actually live in Los Angeles.

  • Render queue and cost controls

    Jobs are queued by priority, model and resolution, with per project budgets in credits rather than surprise invoices. Draft quality renders run cheaply, and full resolution only runs when someone approves the shot.

    Compute spend stays tied to approved work.

  • Review and approval rooms

    Frame accurate comments, version history and client sign off, so a brand manager can approve a spot on a phone and the approval is stored with the file that ships.

    A clear record that the client saw and approved the final cut.

Who this is for

Four kinds of Los Angeles teams that bring us AI video projects.

The entertainment business here has its own habits: guild contracts, clearance reports, deal memos and a long tradition of protecting names and faces. An AI video product that ignores those habits will be rejected by the people who sign off on content, however good the output looks. We plan each build around who will rely on it and who carries the legal risk when something goes wrong. These are the starting points we see most often, and each one leads to a noticeably different first release.

01

Production and post companies adding generative tools

Teams in Burbank, Hollywood and Culver City usually want internal tools first: previs, background extension, pickup lines from a licensed voice, or quick temp shots for a director's cut. We build these as private apps that sit next to your existing storage and editing systems, with permissions by show so one production cannot see another's material. Consent and replica records live with each project.

Internal tools first is often the safest way to learn what works.

02

Agencies producing branded content at volume

Westside and downtown agencies need dozens of cut downs, language versions and formats from a single campaign. We build template driven generation with brand locks on logos, fonts and product shots, plus a review room where clients approve each variation. Any talent likeness used in a spot is tied to the usage terms in the talent agreement, so a version cannot run after rights lapse.

03

Creator and consumer app founders

Startups in Santa Monica, Venice and Playa Vista often want a public app where anyone can make short video. That opens the hardest problems: verifying that a user actually is the person in an uploaded selfie, blocking impersonation of celebrities, screening for intimate deepfakes and handling takedown requests fast. We design those controls into the first release rather than leaving them for later.

Public apps need safety work before marketing work.

04

Talent managers and estates licensing likeness

Representatives who want to license a client's voice or appearance need a different product: a controlled catalog of approved replicas, request intake from studios and brands, approval workflows and usage reporting. We build these portals so the person being replicated, or their estate, stays in control of every use.

How a Los Angeles AI video app goes from idea to release.

  1. 01Discovery by video callWe map users, content types, union and talent obligations, existing post tools and the risks your counsel cares about. Sessions run remotely by video call with your producers, engineers and business affairs team.
  2. 02Model and vendor selectionWe test candidate video, voice and image models against your own sample briefs, comparing quality, licensing terms, training data disclosures and cost per finished second before anything is committed.
  3. 03Consent and rights designReplica authorizations, estate permissions, usage windows and revocation rules are specified as data, so the software can enforce them instead of relying on someone remembering a contract clause.
  4. 04Interface and pipeline buildMobile apps, web studio and admin tools are built alongside export connectors for your editing and storage setup, with weekly builds you can test on real footage.
  5. 05Safety and legal reviewAbuse testing, takedown drills, label checks and a walkthrough with your lawyers confirm the product behaves as promised before any outside user sees it.
  6. 06Release and ongoing tuningStaged rollout to one show or client first, then wider release, with model updates, cost tuning and new formats handled as part of ongoing support.

Technology

What we build this with.

Native or cross platform mobile apps, a web studio for heavier editing, cloud GPU queues for rendering and a choice of commercial or open video models. Picks depend on your licensing comfort, your post pipeline and the team who will maintain the product.

01Mobile

  • Swift
  • Kotlin
  • Flutter
  • React Native

02Data and cloud

  • PostgreSQL
  • MySQL
  • MongoDB
  • AWS
  • Azure
  • Docker

03Marketing and tracking

  • GA4
  • Google Tag Manager
  • Search Console
  • Meta Pixel
  • Looker Studio

Questions Los Angeles producers ask before building an AI video app.

It starts with how your shows already move footage and approvals, then fits generation into that flow.

We begin by mapping where generated material would actually help, such as previs, temp shots, background plates or alternate takes, and where it should never appear without sign off. We then choose models, design the consent and rights records, and build the app around your storage and editing tools. A first version usually serves one show or one department so the team can judge quality on real work. Wider rollout follows once editors, producers and counsel are comfortable with how it behaves.

Tell us what the business needs. We will tell you what to build first.

Schedule a free consultation and get a written recommendation, with costs, before you commit to anything.

Get in touch

PROVEN RESULTS

4.7 / 5from 23 Google reviews