A fictional working day at a Telugu newspaper: Suresh reports on paddy procurement in Guntur. Follow the same story through Anitha’s district desk, Fatima’s copy desk and Kiran’s approval. The route and rights follow each paper’s configuration. Images are AI-generated illustrations.
Suresh reports in Telugu on farmers waiting for paddy collection in Guntur. He files from his phone with two photographs, the farmers’ account and the procurement centre’s response.
The reporting stays connected: words, photographs and supporting material, together in one place.
The filing reaches the district desk configured for Suresh’s reporting area. Anitha opens the source report and photographs together; the original remains available as the copy evolves.
Your team spends less time chasing material and more time working on the story.
AI helps prepare the filing for review. If translation is needed, the editor checks names, meaning and claims against the Telugu original. Assistance starts the work; it does not establish the facts.
Treat suggestions as a starting point for editorial review. Your team brings the local knowledge, judgment and fact-checking.
At the district desk, Anitha checks the local context. She hands the story to the central desk with a note to keep the farmers’ account and the centre’s response distinct. Specialist input is available when the configured workflow permits it.
Editors can pass along context with the story, helping the next desk pick up where they left off.
Fatima asks Sanchika to shorten the headline without adding a claim. “Farmers seek quicker paddy collection” becomes a suggestion she can use or dismiss. She checks it against the reporting and edits the copy.
Review a suggestion, use what helps and leave what does not. Keep refining until the copy feels right.
Kiran, the authorised editor, approves the final headline and body. The production team can export a PDF clipping with the selected photographs, captions and credits, or download the approved text.
The export uses approved final copy. The PDF carries the publication’s masthead; the download is recorded in the story’s journey.
Who filed it. Which desk holds it. Who approved it. Keep the original reporting and the editorial audit trail close to the work.
Return to the original reporting and supporting material as the story develops.
Know which desk holds the story, where it came from and who made the editorial decision.
Review editorial handoffs, AI conversations and the decisions that shaped the approved copy.
Your admin maps the existing hierarchy into Sanchika. The software follows the newsroom’s structure.
Stories follow the route your newsroom defines.
Illustrative people and route. You choose the desks, handoffs and approval rights.
Create the main editorial ladder and any specialist desks. A district-to-central structure is one example; the admin defines the actual map.
Put people in the right desks, connect reporting teams and make editorial responsibilities clear.
Decide who reviews next, when a story needs a senior view and where specialist expertise can help.
Walk through an example story with your team. Make sure the journey reflects how you want the newsroom to work.
Prepare changes, review them and put them into use when you are ready. Your admin stays in control as the newsroom evolves.
Bring agency coverage alongside your team’s original reporting. Give editors a shared place to discover wire stories and pictures, then choose what deserves their attention.
Bring your agency coverage into one editorial workspace. Connect PTI copy and photographs, with ANI available on request during onboarding.
Your editors choose what to take forward, refine the copy and make the publication decision.
Illustrative clipping · Your publication’s masthead
Export the approved story as a newspaper-style PDF: your masthead, final headline and copy, selected photographs, captions and credits. Or download the approved text for the next step in production.
Fetch agency copy and photographs, browse the pool and take the stories your paper needs. A selected item becomes a story in your newsroom’s review workflow. Editors choose what enters the queue.
Connect PTI text and pictures using your subscriptions. ANI is available on request during onboarding.
Explore the wire desk →Agency context alongside Suresh’s local reporting.
In the poolBrowse available agency photographs and their credits.
Editor selectsA district daily, a regional title or a newspaper with multiple editions: start with the people, language and editorial structure you already have.
Configure your publication’s languages, desks, reporting areas and approval rights. AI-assisted drafting and translation support the work; your editors check meaning and make the final call.
Publication setup includes India’s 22 scheduled languages and English. Editors review translation for meaning, names and local context.
One platform. Many languages. Each paper’s own editorial judgment.
Choose the assistance behind the work, then let editors decide what to use.
Supported AI providers. Choose the available models that suit your newsroom, with the required provider connections in place.
Choose from supported AI providers to suit your newsroom’s needs.
Choose the models your team uses for different kinds of assistance, from translation to editorial refinement.
Bring your publication’s voice, preferences and reference material into the work.
Your admin shapes the setup. Your editors choose which suggestions to use. Your newsroom makes the final call.
Walk through your reporting structure, editorial process and AI choices with us.
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