Split a large PDF into small pdfs
As a user, I want to split a PDF into multiple documents so that I can better work with those files. It will allow me to better contextualize each file and also work with them using AI. Currently, I either use Adobe or iLovePDF that allows to either split or group pdfs (yet I’m a bit concerned about the security even thought it’s in Italy). I’d like to split it between specific pages. That’d be extremely useful.
Whisperit Roadmap
2 days ago
Split a large PDF into small pdfs
As a user, I want to split a PDF into multiple documents so that I can better work with those files. It will allow me to better contextualize each file and also work with them using AI. Currently, I either use Adobe or iLovePDF that allows to either split or group pdfs (yet I’m a bit concerned about the security even thought it’s in Italy). I’d like to split it between specific pages. That’d be extremely useful.
Whisperit Roadmap
2 days ago
Case: Detect existing files at upload & avoid AI reprocessing
Context Whisperit currently has no mechanism to detect when a document already exists in the system, either at upload time or at AI processing time. This is a root cause of our quota crisis: the user delete entire folders (30-60 documents) and reprocess everything from scratch because they have no visibility on what is already indexed. Direct consequence: runaway upload + Azure processing costs, and the drastic quota measure taken two weeks ago. Scenario: a lawyer builds an AI context on ~100 case files, generates a summary, returns 20 days later to redo the task. In the meantime, 10-30 new files have arrived in their SharePoint. Today, the only safe option is to delete the whole folder and re-upload everything. Scope Two layers, shipped together: Upload layer — duplicate detection On upload, detect duplicates based on name + size + content hash. Block silent duplication; surface explicit user choice: skip / replace / keep both (auto-rename). Apply at single-file and bulk-upload entry points. AI layer — incremental context awareness When the user adds files to an existing folder/context, the AI must recognize which documents are already in its context. Prompt the user: "I already have files X, Y, Z in this context. Integrate only the new ones (A, B, C) or rebuild from scratch?" Process only deltas by default; full reprocess on explicit request. Acceptance criteria Uploading a file already present in the folder triggers a duplicate dialog (skip / replace / keep both). Hash-based detection works even if the file is renamed. Adding files to a folder with an existing AI context only processes the new files unless the user opts for a full rebuild. Telemetry: track duplicate-detection hits and reprocess-avoided events to measure cost impact. Regression: existing single-file workflows are unaffected.
Whisperit Roadmap
3 days ago
Case: Detect existing files at upload & avoid AI reprocessing
Context Whisperit currently has no mechanism to detect when a document already exists in the system, either at upload time or at AI processing time. This is a root cause of our quota crisis: the user delete entire folders (30-60 documents) and reprocess everything from scratch because they have no visibility on what is already indexed. Direct consequence: runaway upload + Azure processing costs, and the drastic quota measure taken two weeks ago. Scenario: a lawyer builds an AI context on ~100 case files, generates a summary, returns 20 days later to redo the task. In the meantime, 10-30 new files have arrived in their SharePoint. Today, the only safe option is to delete the whole folder and re-upload everything. Scope Two layers, shipped together: Upload layer — duplicate detection On upload, detect duplicates based on name + size + content hash. Block silent duplication; surface explicit user choice: skip / replace / keep both (auto-rename). Apply at single-file and bulk-upload entry points. AI layer — incremental context awareness When the user adds files to an existing folder/context, the AI must recognize which documents are already in its context. Prompt the user: "I already have files X, Y, Z in this context. Integrate only the new ones (A, B, C) or rebuild from scratch?" Process only deltas by default; full reprocess on explicit request. Acceptance criteria Uploading a file already present in the folder triggers a duplicate dialog (skip / replace / keep both). Hash-based detection works even if the file is renamed. Adding files to a folder with an existing AI context only processes the new files unless the user opts for a full rebuild. Telemetry: track duplicate-detection hits and reprocess-avoided events to measure cost impact. Regression: existing single-file workflows are unaffected.
Whisperit Roadmap
3 days ago
parallel tabs
It would be helpful to be able to open the document created by an assistant in a sort of “tab” alongside the conversation with the assistant, so that requests for changes to that document—or even other requests, such as “send me an email explaining the document to the client”—could be made directly within that conversation.
Whisperit Feedback
16 days ago
parallel tabs
It would be helpful to be able to open the document created by an assistant in a sort of “tab” alongside the conversation with the assistant, so that requests for changes to that document—or even other requests, such as “send me an email explaining the document to the client”—could be made directly within that conversation.
Whisperit Feedback
16 days ago
In Progress
Google Drive Integration
To connect Whisperit's legal research tool directly to a customer's Google Drive. This will allow users to conduct deep, contextualized research across their own secure data by selecting specific folders or files within their Drive to serve as a private knowledge base for the AI's legal research and analysis features. (Customer based request)
Whisperit Roadmap
6 months ago
In Progress
Google Drive Integration
To connect Whisperit's legal research tool directly to a customer's Google Drive. This will allow users to conduct deep, contextualized research across their own secure data by selecting specific folders or files within their Drive to serve as a private knowledge base for the AI's legal research and analysis features. (Customer based request)
Whisperit Roadmap
6 months ago