Transcription and captions
Every recording transcribed and captioned in Arabic and English within hours, then checked by an editor.
At Infynix, we craft growth engines that inspire and endure.
AI-assisted video and creative production pipelines designed to accelerate asset generation while maintaining premium studio quality. Connecting AI safely to internal files without data leaks or bad answers is complex. AI should solve real business tasks by connecting directly to your company data.
OUR CAPABILITIES IN
AI-Assisted Production
01
RAG Integration
02
Autonomous AI Agents
03
Prompt Guardrails
04
Model Tuning
How We Work
01
Use Cases
We find high-impact tasks for AI automation.
02
Models
We select OpenAI, Claude, or open-source models.
03
Data Pipelines
We format your company files into vector databases.
04
Agent Logic
We program agent workflows using Python.
05
Testing
We enforce guardrails to keep answers accurate.
06
Deploy
We launch tools to internal teams with usage logging.
AI-assisted production is how Infynix Media produces more, faster, without producing worse. Machine tools now handle a large share of the mechanical work in post-production: transcription, rough cuts, captioning, translation drafts, voice cleanup, background removal, upscaling and the versioning of one asset into twenty formats. Used well, they give a UAE brand a publishing rhythm that would otherwise need a much larger team.
Used badly, they produce content that looks and sounds generated, which audiences in the UAE recognise as quickly as they recognise stock photography. The line we hold is simple: AI does the mechanical work, people do the creative and the judgement, and nothing goes out that a person has not reviewed.
This page explains where we use these tools, where we do not, and what that means for the speed, volume and cost of production for retail, hospitality, real estate, corporate and media clients across the Emirates.
Where AI does the mechanical work
Rough cuts and selects
Interviews and long recordings pre-cut to the usable moments so the editor starts from a shortlist.
Translation drafts
First-pass translation between Arabic and English, rewritten by native speakers before it is used.
Audio cleanup
Noise, room tone and level problems repaired so location recordings sound produced.
Image and video enhancement
Upscaling, background removal, retouching at volume and colour matching across a catalogue.
Versioning at scale
One master reframed and resized for every platform, with a person checking the framing.
Voice and localisation
Synthetic voice for drafts, guides and versions where a natural voice-over is not needed, disclosed where it is used.
Asset search and archive
Your footage library indexed so the right clip is found in seconds rather than hours.
What changes in practice
| Task | Conventional turnaround | AI-assisted turnaround |
|---|---|---|
| Captioning a 30-minute recording, two languages | 1 to 2 days | Same day, reviewed |
| Selects from a 4-hour interview shoot | 1 to 2 days | Hours, editor-reviewed |
| Catalogue retouching, 200 products | 1 to 2 weeks | 2 to 3 days |
| Versioning one film into 12 formats | 2 to 3 days | Same day, checked |
| Podcast episode edit | 3 to 5 days | 2 to 3 days |
Who benefits most
Brands publishing daily
Retail, hospitality and media brands whose volume would otherwise need a much larger team.
Bilingual publishers
Organisations that need every asset in Arabic and English without doubling production time.
E-commerce catalogues
Product imagery at volume, consistent, retouched and formatted for every marketplace.
Podcast and interview formats
Long recordings turned into episodes, clips and articles quickly.
Agencies
White-label post-production capacity for teams whose own suites are full.
How we work together
Inside every production
AI-assisted post is part of how all our media work is delivered, not a separate product.
Volume post-production
A monthly block for brands that need captioning, versioning and cutting at scale.
Workflow build
Setting up an AI-assisted pipeline for an in-house content team, with the review steps that keep quality.
Where the line is
The tools are good at mechanical, repeatable work with a clear right answer: transcribing what was said, finding the moments where a speaker made a point, removing a hum, resizing a frame, matching a colour. They are not good at the things that make content worth watching: the idea, the story, the timing of a cut, the choice of a word in Arabic that lands, the judgement about whether a joke works in the Gulf. We use them for the first and not the second.
We also do not generate imagery of people, places or products that do not exist and present it as real, and we disclose synthetic voice where it is used. UAE audiences and UAE content rules both expect that honesty.
Mechanical work, automated
Transcription, selects, cleanup, versioning, retouching at volume.
Creative work, human
Concept, script, direction, the final cut and every word in both languages.
Nothing unreviewed
A person checks every output before it leaves.
Honest about synthetic
No fabricated reality; synthetic voice disclosed where used.
What it means for volume and cost
The practical effect is throughput. Captioning that took a day takes an hour. Selects that took an editor two days take an afternoon. A catalogue that took two weeks to retouch takes three days. That time goes back into the parts that matter, the cut and the creative, or it becomes more content for the same production budget. For a UAE brand publishing in two languages, it is the difference between a publishing rhythm that is sustainable and one that is not.
We pass that efficiency through as more output per production rather than as a cheaper, worse product, and we say so when a job does not benefit from it.
More output per shoot
The same day produces more finished assets.
Bilingual without doubling
Arabic and English versions produced in one pass, then checked natively.
Faster turnaround
Same-day and next-day delivery on the mechanical work.
Judgement kept
The time saved goes into the creative, not out of it.
Building the pipeline for an in-house team
Some clients want the pipeline rather than the service: a content team that can caption, version and cut at volume itself, with the tools configured and the review steps built in so quality does not drift. We set that up, train the team, and document the workflow, because the review discipline is the part that most in-house adoptions miss.
The workflow covers ingestion, transcription, selects, captioning in both languages, versioning, review and archive, with the human checkpoints marked and the archive indexed so footage is findable.
Configured tools
The pipeline set up for your formats, languages and platforms.
Review checkpoints
Where a person must look, built into the process.
Training
The team taught to use it and to know its limits.
Indexed archive
Footage searchable so nothing is shot twice.
Content rules and synthetic media in the UAE
UAE content standards apply to everything a brand publishes, and the arrival of synthetic media has made honesty a practical requirement rather than a principle. Content that fabricates a person, a place or an event, or that presents a synthetic voice as a real one, is a reputational and regulatory risk in a market where the standards are enforced. Our position is stated plainly: we use the tools for mechanical work, we do not fabricate reality, and we disclose synthetic voice where it is used.
For clients in healthcare, finance and real estate, where the sector rules are stricter, the review checkpoints in the pipeline are where compliance sits, and every published asset has passed through a person.
No fabricated reality
People, places and products shown as they are.
Disclosed synthetic voice
Used only where appropriate, and said so.
Sector review
Healthcare, finance and real estate content checked against their rules.
Human sign-off
Every published asset reviewed by a person.
AI-Assisted Production questions
Does AI-assisted mean the content is generated?
No. AI handles mechanical post-production work such as transcription, selects, cleanup, retouching and versioning. The concept, script, direction, final cut and every word in Arabic and English are done by people, and nothing leaves without human review.
Do you use AI-generated images or video of things that do not exist?
Not presented as real. We do not fabricate people, places or products. Synthetic voice is used only for drafts, guides and versions where a natural voice-over is not needed, and it is disclosed.
Is the Arabic produced by machine translation?
Machine translation produces a first draft that native speakers rewrite before it is used. Captions, scripts and voice-over that go out are native, not translated.
How much faster is it?
Captioning goes from a day to an hour, selects from days to an afternoon, catalogue retouching from weeks to days, versioning from days to same day. The time goes into the creative or into more output for the same budget.
Can you set this up for our in-house team?
Yes. We configure the pipeline for your formats and languages, build in the review checkpoints, train the team and document the workflow, including an indexed archive.
Does it change the cost of production?
It changes the output per production. We pass the efficiency through as more finished assets and faster turnaround rather than as a cheaper, worse product, and we say when a job does not benefit from it.
Is AI-assisted content allowed under UAE content rules?
Using tools for mechanical post-production is not the issue; fabricating reality or presenting synthetic content as real is. We do not fabricate, we disclose synthetic voice, and every asset passes human review against the standards that apply.
Which parts of our existing library can benefit?
Almost all of it. Existing footage can be transcribed, indexed, captioned in both languages and versioned for new platforms, which often produces months of content from material already shot.
Can you index and search our existing footage library?
Yes. Your archive is transcribed, tagged and indexed so any clip is found by what was said or shown, which usually surfaces months of unused content and prevents shooting the same thing twice.
Do you train our team to use the tools?
Yes. When we build a pipeline for an in-house team we configure the tools, build in the review checkpoints, train the team on how to use them and where their limits are, and document the workflow.
Which tools do you use?
A changing set, chosen for each task and reviewed as the field moves. What stays constant is the workflow: mechanical work automated, creative work human, review before anything leaves, and no fabricated reality.
Can you help with volume captioning for our existing videos?
Yes. Existing libraries are captioned in Arabic and English, reviewed by editors, and returned as sidecar files or burned-in versions, which is one of the fastest ways to make an old library work on muted feeds.
