Feature request: Bulk resume uploads in talantly

I definitely feel that pain - we get similar volumes from campus recruiting and referral programs. Currently I'm using a combination of batch file naming conventions and spreadsheet tracking before individual uploads, but it's still pretty manual and prone to errors.

I can definitely relate to this workflow challenge - we face similar bottlenecks in our consulting practice, especially during peak hiring periods when we're staffing multiple client engagements simultaneously.

The volume you're describing (50-100 resumes weekly) is right in line with what we typically handle, and the manual upload process is genuinely painful. What makes it even more complex for us is that we often need to categorize candidates not just by role, but by practice area, client readiness level, and availability for different project timelines.

We've been using Talantly.ai for about 7 months now, and while it's helped streamline some of our candidate evaluation processes, the bulk upload limitation is something we've definitely bumped up against. The platform does well with parsing individual resumes and extracting relevant skills/experience data, but when you're dealing with batch submissions from campus recruiting events or referral partners, you're still stuck with the one-by-one approach.

Your wishlist items are spot-on, particularly the duplicate flagging based on email/name matching. We've had instances where the same candidate gets submitted through multiple channels, and catching those duplicates early would save considerable time in our screening process.

One workaround we've developed is creating standardized folder structures and batch processing schedules - we designate specific times twice weekly for resume uploads and use a tagging system to track source and urgency level. It's not elegant, but it at least creates some efficiency through batching the manual work.

The real-time parsing feedback would be incredibly valuable too. We've encountered situations where resumes with non-standard formatting don't parse correctly, and you don't realize it until you're already deep into the evaluation process.

Have you found any third-party tools that integrate well with your current ATS for batch processing? I'm curious if there are interim solutions while we wait for platforms to catch up with this pretty universal need.

That duplicate flagging feature would be a game-changer - we've definitely had the same candidate show up through LinkedIn, our careers page, and employee referrals within the same week. The batch processing schedule approach is smart; we've started doing something similar but it still feels like we're working around the system rather than with it.

Absolutely feel your pain on the duplicate issue - I've seen the same candidate come through four different channels in a single day, which creates chaos in our pipeline tracking. We've tried batching uploads during slower periods, but you're right that it feels like we're constantly fighting the system instead of it working for us.

The real-time error flagging would be huge too, because nothing's worse than thinking you've successfully uploaded 30 resumes only to find out half failed due to formatting issues. Have you found any ATS that handles bulk processing well, or are we all just dealing with this limitation across the board?

We've been dealing with exactly this challenge - the manual upload process was killing our team's productivity, especially during high-volume hiring periods. Since implementing our current solution a few months back, the bulk processing has been a game-changer for handling those referral batches, though I'll be honest that getting the team fully adapted to the new workflow took longer than expected. The duplicate detection feature has probably saved us the most headaches - we were constantly chasing down the same candidates across multiple channels. What's your current ATS setup? Some handle bulk operations better than others, but the parsing accuracy can vary significantly depending on resume formats.

Totally feel your pain on this - we were in the exact same boat with those referral batches eating up hours of manual work each week! The parsing accuracy piece is spot on too - we've found that older resume formats or creative layouts still trip up most systems, so having that real-time error feedback becomes crucial.

One thing that caught us off guard was how much time we initially spent cleaning up the data after bulk uploads, especially when candidates had slight variations in how they formatted their contact info. Have you noticed certain resume sources being more consistent than others in terms of parsing success rates?

This resonates deeply - we've seen similar patterns where certain recruiting agencies consistently deliver well-formatted resumes while others send everything from scanned PDFs to creative designs that break parsing entirely. What really shifted our approach was implementing a standardized intake process with our referral partners, providing them with formatting guidelines upfront rather than fixing issues downstream. The time investment in partner education paid off significantly, though we still see about 15-20% of submissions requiring manual cleanup. Have you considered establishing formatting standards with your highest-volume sources, or are you dealing with too many one-off submissions to make that practical?

That's a smart approach - we've started doing something similar with our regular agency partners. The challenge for us is that about 60% of our volume comes from employee referrals and one-off applications, so we still end up with that manual cleanup bottleneck you mentioned.

The referral volume creates a particularly complex challenge since those submissions often come in inconsistent formats and quality levels. We've found that implementing a standardized referral submission template helps somewhat, but you're still dealing with the reality that employees don't always follow guidelines precisely. The parsing accuracy becomes even more critical when you're handling that mix of professional agency submissions alongside informal referral documents.

Yeah, we've definitely hit that same wall with bulk uploads - ended up building a simple workflow where we batch process referrals on specific days just to stay sane. The parsing inconsistency is brutal though, especially when someone sends you a resume that's basically a Word doc screenshot.

That parsing inconsistency is the real killer - we've seen similar issues where creative resume formats or non-standard layouts completely break automated extraction. From a scaling perspective, I've found that investing in better parsing infrastructure upfront saves massive headaches down the line, especially when you're dealing with the volume you're describing. We actually had to build some custom validation layers because the parsing errors were creating more work than the manual uploads in some cases. The duplicate detection piece is crucial too - nothing worse than accidentally reaching out to the same candidate multiple times because the system missed a match.

Oh wow, this hits close to home! We've been dealing with similar volume challenges, and you're absolutely right about the parsing inconsistencies being a nightmare. I've found that even with decent bulk upload tools, you still end up doing a ton of manual cleanup afterward - especially with those creative designer resumes or PDFs that have weird formatting.

The duplicate detection piece is so crucial too, and honestly it's trickier than it seems since people use different email addresses or slight name variations. We've started doing a quick manual scan even with automated duplicate checking because missing those duplicates can really damage candidate experience.

Ugh, yes! The manual cleanup is the worst part - we'll get a batch of 30 resumes and think we're saving time with bulk upload, but then spend just as long fixing parsing errors and standardizing the data. What really gets me is when someone's resume has their contact info in a header or footer and the system completely misses it. I've started doing a quick quality check on every 5th or 6th resume just to catch the weird edge cases early. The duplicate thing is so tricky too - we had someone apply with their personal email, then their spouse forwarded the same resume from their work email thinking they were being helpful. Almost scheduled the same person twice! Do you have any tricks for those creative resumes? I swear some designers make their resumes intentionally hard to parse just to stand out.

Oh, the creative resume struggle is so real! I've learned to spot the ones that are going to be parsing nightmares from a mile away - anything with heavy graphics or non-standard layouts usually means I'm doing manual data entry. One trick I picked up is having candidates submit both a "pretty" version and a plain text version when possible, though that obviously doesn't work for unsolicited applications. The duplicate detection based on phone numbers has actually saved me more headaches than email matching, since people seem to use the same mobile number even when switching between personal and work emails.